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Drones/Unmanned

Naval Escalation in an Unmanned Context

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By Jonathan Panter

On March 14, two Russian fighter jets intercepted a U.S. Air Force MQ-9 Reaper in international airspace, breaking one of the drone’s propellers and forcing it to crash into the Black Sea. The Russians probably understood that U.S. military retaliation – or, more importantly, escalation – was unlikely; wrecking a drone is not like killing people. Indeed, the incident contrasts sharply with the recent revelation of another aerial face-off. In late 2022, Russian aircraft nearly shot down a manned British RC-135 Rivet Joint surveillance aircraft. With respect to escalation, senior defense officials later indicated, the latter incident could have been severe.1

There is an emerging view among scholars and policymakers that unmanned aerial vehicles can reduce the risk of escalation, by providing an off-ramp during crisis incidents that, were human beings involved, might otherwise spark public calls for retaliation. Other recent events, such as the Iranian shoot-down of a U.S. RQ-4 Global Hawk in the Persian Gulf in 2019 – which likewise did not spur U.S. military kinetic retaliation – lend credence to this view. But in another theater, the Indo-Pacific, the outlook for unmanned escalation dynamics is uncertain, and potentially much worse. There, unmanned (and soon, autonomous) military competition will occur not just between aircraft, but between vessels on and below the ocean.

Over the past two decades, China has substantially enlarged its navy and irregular maritime forces. It has deployed these forces to patrol its excessive maritime claims and to threaten Taiwan, expanded its nuclear arsenal, and built a conventional anti-access, area-denial capacity whose overlap with its nuclear deterrence architecture remains unclear. Unmanned and autonomous maritime systems add a great unknown variable to this mix. Unmanned ships and submarines may strengthen capabilities in ways not currently anticipated; introduce unexpected vulnerabilities across entire warfare areas; lower the threshold for escalatory acts; or complicate each side’s ability to make credible threats and assurances.

Forecasting Escalation Dynamics

Escalation is a transition from peace to war, or an increase in the severity of an ongoing conflict. Many naval officers assume that unmanned ships are inherently de-escalatory assets due to their lack of personnel onboard. Recent high-profile incidents – such as the MQ-9 Reaper and RQ-4 Global Hawk incidents mentioned previously – seem, at first glance, to confirm this assumption. The logic is simple: if one side destroys the other’s unmanned asset, the victim will feel less compelled to respond, since no lives were lost.

While enticing, this assumption is also illusory. First, the example is of limited applicability: most unmanned ships and submarines under development will not be deployed independently. They will work in tandem with each other and with manned assets, such that the compromise of one vessel – potentially by cyber means – often affects others, changing a force’s overall readiness. The most serious escalation risk thus lies at a systemic, or fleetwide, level – not at the level of individual shoot-downs.

Second, lessons about escalation from two decades of operational employment of unmanned aircraft cannot be imported, wholesale, to the surface and subsurface domains – where there is little to no operational record of unmanned vessel employment. The technology, operating environments, expected threats, tactics, and other factors differ substantially.

Our understanding of one variant of escalation, that in the nuclear realm, is famously theoretical – the result of deductive logic, modeling, or gaming – rather than empirical, since nuclear weapons have only been used once in conflict, and never between two nuclear powers. Right now, the story is similar for unmanned surface and subsurface vessels. Neither side has deployed unmanned vessels at in sufficient numbers or duration, and across a great enough variety of contexts, for researchers to draw evidence-based conclusions. Everything remains a projection.

Fortunately, three existing areas of academic scholarship – crisis bargaining, inadvertent nuclear escalation, and escalation in cyberspace – provide some clues about what naval escalation in an unmanned context might look like.

Crisis Bargaining

During international crises, a state may try to convince its opponent that it is willing to fight over an issue – and that, if war were to break out, it would prevail. The goal is to get what you want without actually fighting. To intimidate an opponent, a state might inflate its capabilities or hide its weaknesses. To convince others of its willingness to fight, a state might take actions that create a risk of war, such as mobilizing troops (so-called “costly signals”). Ascertaining capability and intent in international crises is therefore quite difficult, and misjudging either may lead to war.2

Between nuclear-armed states, these phenomena are more severe. Neither side wants nuclear war, nor believes that the other is willing to risk it. To make threats credible, therefore, states may initiate an unstable situation (“rock the boat”) but then “tie their own hands” so that catastrophe can be averted only if the opponent backs down. States do this by, for example, automating decision-making, or stationing troops in harm’s way.3

The proliferation of unmanned and autonomous vessels promises to impact all of these crisis bargaining strategies. First – as noted previously – unmanned vessels may be perceived as “less escalatory,” since deploying them does not risk sailors’ lives. But this perception could have the opposite effect, if states – believing the escalation risk to be lower – deploy their unmanned vessels closer to an adversary’s territory or defensive systems. The adversary might, in turn, believe that his opponent is preparing the battlespace, or even that an attack is imminent. Economists call this paradox “moral hazard.” The classic example is an insured person’s willingness to take on more risk.

Second, a truly autonomous platform – one lacking a means of being recalled or otherwise controlled after its deployment – would be ideal for “tying hands” strategies. A state could send such vessels to run a blockade, for instance, daring the other side to fire first. Conversely, an unmanned (but not autonomous) vessel might have remote human operators, giving a state some leeway to back down after “rocking the boat.” In a crisis, it may be difficult for an adversary to distinguish between the two types of vessels.

A further complication arises if a state misrepresents a recallable vessel as non-recallable, perhaps to gain the negotiating leverage of “tying hands,” while maintaining a secret exit option. And even if an autonomous vessel is positively identified as such, attributing “intent” to it is a gray area. The more autonomously a vessel operates, the easier it is to attribute its behaviors to its programming, but the harder it is to determine whether its actions in a specific scenario are intended by humans (versus being default actions or error).

Unmanned Aerial Vehicles?

Scholars have begun to address such questions by studying unmanned aerial systems.4 To give two recent examples, one finding suggests that unmanned aircraft may be de-escalatory assets, since the absence of a pilot means domestic publics would be less likely to demand blood-for-blood if a drone gets shot down.5 Another scholar finds that because drones combine persistent surveillance with precision strike, they can “increase the certainty of punishment” – making threats more credible.6

Caution should be taken in applying such lessons to the maritime realm. First, unmanned ships and submarines are decades behind unmanned aerial vehicles in sophistication. Accordingly, current plans point to a (potentially decades-long) roll-out period during which unmanned vessels will be partially or optionally manned.7 Such vessels could appear unmanned to an adversary, when in fact crews are simply not visible. This complicates rules of engagement, and warps expectations for retaliation if a state targets an apparently-unmanned vessel that in fact has a skeleton crew.

Second, ships and submarines have much longer endurance times than aircraft. Hence, mechanical and software problems will receive less frequent local troubleshooting and digital forensic examination. An aerial drone that suffers an attempted hack will return to base within a few hours; not so with unmanned ships and submarines because their transit and on-station times are much longer, especially those dispersed across a wide geographic area for distributed maritime operations. This complicates efforts to attribute failures to “benign” causes or adversarial compromise. The question may not be whether an attempted attack merits a response due to loss of life, but rather whether it represents the opening salvo in a conflict.

Finally, with regard to the combination of persistent surveillance and precision strike, most unmanned maritime systems in advanced stages of development for the U.S. Navy do not combine sensing and shooting. Small- and medium-sized surface craft, for instance, are much closer to deployment than the U.S. Navy’s “Large Unmanned Surface Vessel,” which is envisioned as an adjunct missile magazine. The small- and medium-sized craft are expected to be scouts, minesweepers, and distributed sensors. Accordingly, they do little for communicating credible threats, but do present attractive targets for a first mover in a conflict, whose opening goal would be to blind the adversary.

Inadvertent Nuclear Escalation

During conventional war, even if adversaries carefully avoid targeting the other side’s nuclear weapons, other parts of a military’s nuclear deterrent may be dual-use systems. An attack on an enemy’s command-and-control, early warning systems, attack submarines, or the like – even one conducted purely for conventional objectives – could make the target state fear that its nuclear deterrent is in danger of being rendered vulnerable.8 This fear could encourage a state to launch its nuclear weapons before it is too late. Incremental improvements to targeting and sensing in the past two decades – especially in the underwater realm – have exacerbated the problem by making retaliatory assets easier to find and destroy.9

In the naval context, the risk is that one side may perceive a “use it or lose it” scenario if it feels that its ballistic missile submarines have all been (or are close to being) located. In particular, the ever-wider deployment of assets that render the underwater battlespace more transparent – such as small, long-duration underwater vehicles equipped with sonar – could undermine an adversary’s second-strike capability. Today, the US Navy’s primary anti-submarine platforms aggregate organic sensing and offensive capabilities (surface combatants, attack submarines, and maritime patrol aircraft). The shift to distributed maritime operations using unmanned platforms, however, portends a future of disaggregated capabilities. Small platforms without onboard weapons systems will still provide remote sensing capability to the joint force. If these sensing platforms are considered non-escalatory because they lack offensive capabilities and sailors onboard, the US Navy might deploy them more widely.10

Escalation in Cyberspace

The US government’s shift to persistent engagement in cyberspace, a strategy called “Defend Forward,”11 has underscored two debates on cyber escalation. The first concerns whether operations in the cyber domain expose previously secure adversarial capabilities to disruption, shifting incentives for preemption on either side.12 The second concerns whether effects generated by cyberattacks (i.e., cyber effects or physical effects) can trigger a “cross-domain” response.13

These debates remain unresolved. Narrowing the focus to cyberattacks on unmanned or autonomous vessels presents an additional challenge for analysis, because these technologies are nascent and efforts to ensure their cyber resilience remain classified. Platforms without crews may present an attractive cyber target, perhaps because interfering with the operation of an unmanned vessel is perceived as less escalatory since human life is not directly at risk.

But a distinction must be made between the compromise of a single vessel and its follow-on effects at a system, or fleetwide level. Based on current plans, unmanned vessels are most likely to be employed as part of an extended, networked hybrid fleet. If penetrating one unmanned vessel’s cyber defenses can allow an adversary to move laterally across a network, this “effect” may be severe, potentially affecting a whole mission or warfare area. The subsequent decline in offensive or defensive capacity at the operational level of war could shift incentives for preemption. Since unmanned vessels operating as part of a team (with other unmanned vessels or with manned ones) are dependent on beyond-line-of-sight communications, interruption of one of these pathways (e.g., disabling a geostationary satellite over the area of operations) could have a similar systemic effect.

The Role of Human Judgment

Modern naval operations already depend on automated combat systems, lists of “if-then” statements, and data links. For decades, people have increasingly assigned mundane and repetitive (or computationally laborious) shipboard tasks to computers, leaving officers and sailors in a supervisory role. This state of affairs is accelerating with the introduction of unmanned and autonomous vessels, especially when combined with artificial intelligence. These technologies are likely to make human judgment more, not less, important.14 Many future naval officers will be designers, regulators, or managers of automated systems. So too will civilian policymakers directing the use of unmanned and autonomous maritime systems to signal capability and intent in crisis. For both policymakers and officers, questions requiring substantial judgment will include:

The “moral hazard” problem. If unmanned vessels are perceived as less escalatory – because they lack crews, or because they carry only sensors and no offensive capabilities – are they more likely to be employed in ways that incur other risks (such as threatening adversary defensive or nuclear deterrent capabilities in peacetime)?

The autonomy/intent paradox. When will an autonomous vessel’s action be considered a signal of an adversary’s intent (since the adversary designed and coded the vessel to act a certain way), versus an action that the vessel “decided” to take on its own? If an adversary claims ignorance – that he did not intend an autonomous vessel to act a certain way – when will he be taken at his word?15

The attribution problem. Since unmanned vessels have no crews, local troubleshooting of equipment – along with digital forensics – will occur less frequently than it does on manned vessels. Remotely attributing a problem to routine component or software failure, versus to adversarial cyberattack, will often be harder than it would be with physical access. Will there have to be a higher “certainty threshold” for positive attribution of an attack on an unmanned vessel?

The “roll-out” uncertainty. How will the first few decades of hybrid fleet operations (utilizing partial and optional-manning constructs) complicate the decision to target or compromise unmanned vessels? If a vessel appears unmanned, but has an unseen skeleton crew – and then suffers an attack – how should the target state assess the attacker’s claim of ignorance about the presence of personnel onboard?

The cyber problem. Do unmanned systems’ attractiveness as a cyber target (due to their absence of personnel, often highly-networked employment) present a system-wide vulnerability to those warfare areas than lean more heavily on unmanned systems than others? Which warfare areas would have to be affected to change incentives for preemption?

Since unmanned vessels have not yet been broadly integrated into fleet operations, these questions have no definitive, evidence-based answers. But they can help frame the problem. The maritime domain in East Asia is already particularly susceptible to escalation. Interactions between potential foes should, ideally, never escalate without the consent and direction of policymakers. But in practice, interactions-at-sea can escalate due to hyper-local misperceptions, influenced by factors like command, control, and communications, situational awareness, or relative capabilities. All of these factors are changing with the advent of unmanned and autonomous platforms. Escalation in this context cannot be an afterthought.

Jonathan Panter is a Ph.D. candidate in Political Science at Columbia University. His research examines Congressional oversight over U.S. naval operations. Prior to attending Columbia, Mr. Panter served as a Surface Warfare Officer in the United States Navy. He holds an M.Phil. and M.A. in Political Science from Columbia, and a B.A. in Government from Cornell University.

The author thanks Johnathan Falcone, Anand Jantzen, Jenny Jun, Shuxian Luo, and Ian Sundstrom for comments on earlier drafts of this article.

References

1. Thomas Gibbons-Neff and Eric Schmitt, “Miscommunication Nearly Led to Russian Jet Shooting Down British Spy Plane, U.S. Officials Say,” New York Times, April 12, 2023, https://www.nytimes.com/2023/04/12/world/europe/russian-jet-british-spy-plane.html.

2. James D. Fearon, “Rationalist Explanations for War,” International Organization 49, no. 3 (Summer 1995): 379-414.

3. Thomas C. Schelling, Arms and Influence (New Haven: Yale University Press, [1966] 2008), 43-48, 99-107.

4. See, e.g., Michael C. Horowitz, Sarah E. Kreps, and Matthew Fuhrmann, “Separating Fact from Fiction in the Debate over Drone Proliferation,” International Security 41, no. 2 (Fall 2016): 7-42.

5. Erik Lin-Greenberg, “Wargame of Drones: Remotely Piloted Aircraft and Crisis Escalation,” Journal of Conflict Resolution (2022). See also Erik Lin-Greenberg, “Game of Drones: What Experimental Wargames Reveal About Drones and Escalation,” War on the Rocks, January 10, 2019, https://warontherocks.com/2019/01/game-of-drones-what-experimental-wargames-reveal-about-drones-and-escalation/.

6. Amy Zegart, “Cheap flights, credible threats: The future of armed drones and coercion,” Journal of Strategic Studies 43, no. 1 (2020): 6-46.

7. Sam Lagrone, “Navy: Large USV Will Require Small Crews for the Next Several Years,” USNI News, August 3, 2021, https://news.usni.org/2021/08/03/navy-large-usv-will-require-small-crews-for-the-next-several-years.

8. Barry D. Posen, Inadvertent Escalation (Ithaca: Cornell University Press, 1991); James Acton, “Escalation through Entanglement: How the Vulnerability of Command-and-Control Systems Raises the Risks of an Inadvertent Nuclear War,” International Security 43, no. 1 (Summer 2018): 56-99. For applications to contemporary Sino-US security competition, see: Caitlin Talmadge, “Would China Go Nuclear? Assessing the Risk of Chinese Nuclear Escalation in a Conventional War with the United States,” International Security 41, no. 4 (Spring 2017): 50-92; Fiona S. Cunningham and M. Taylor Fravel, “Dangerous Confidence? Chinese Views on Nuclear Escalation,” International Security 44, no. 2 (Fall 2019): 61-109; and Wu Riqiang, “Assessing China-U.S. Inadvertent Nuclear Escalation,” International Security 46, no. 3 (Winter 2021/2022): 128-162.

9. Keir A. Lieber and Daryl G. Press, “The New Era of Counterforce,” International Security 41, no. 4 (Spring 2017): 9-49; Rose Goettemoeller, “The Standstill Conundrum: The Advent of Second-Strike Vulnerability and Options to Address It,” Texas National Security Review 4, no. 4 (Fall 2021): 115-124.

10. Jonathan D. Caverley and Peter Dombrowski suggest that one component of crisis stability – the distinguishability of offensive and defensive weapons – is more difficult at sea because naval platforms are designed to perform multiple missions. From this perspective, disaggregating capabilities might improve offense-defense distinguishability and prove stabilizing, rather than escalatory. See: “Cruising for a Bruising: Maritime Competition in an Anti-Access Age.” Security Studies 29, no. 4 (2020): 680-681.

11. For an introduction to this strategy, see: Michael P. Fischerkeller and Robert J. Harknett, “Persistent Engagement, Agreed Competition, and Cyberspace Interaction Dynamics and Escalation,” Cyber Defense Review (2019), https://cyberdefensereview.army.mil/Portals/6/CDR-SE_S5-P3-Fischerkeller.pdf.

12. Erik Gartzke and John R. Lindsay, “Thermonuclear Cyberwar,” Journal of Cybersecurity 3, no. 1 (March 2017): 37-48; Erica D. Borghard and Shawn W. Lonergan, “Cyber Operations as Imperfect Tools of Escalation,” Strategic Studies Quarterly 13, no. 3 (Fall 2019): 122-145.

13. See, e.g., Sarah Kreps and Jacquelyn Schneider, “Escalation firebreaks in the cyber, conventional, and nuclear domains: moving beyond effects-based logics,” Journal of Cybersecurity 5, no. 1 (Fall 2019): 1-11; Jason Healey and Robert Jervis, “The Escalation Inversion and Other Oddities of Situational Cyber Stability,” Texas National Security Review 3, no. 4 (Fall 2020): 30-53.

14. Avi Goldfarb and John R. Lindsay, “Prediction and Judgment: Why Artificial Intelligence Increases the Importance of Humans in War,” International Security 46, no. 3 (Winter 2021/2022): 7-50.

15. The author thanks Tove Falk for this insight.

Featured Image: A medium displacement unmanned surface vessel and an MH-60R Sea Hawk helicopter from Helicopter Maritime Strike Squadron (HSM) 73 participate in U.S. Pacific Fleet’s Unmanned Systems Integrated Battle Problem (UxS IBP) April 21, 2021. (U.S. Navy photo by Chief Petty Officer Shannon Renf)

Capability Analysis, Future Tech

Developing New Tactics and Technologies in Naval Warfare: The MDUSV Example

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By Jeffrey Kline, John Tanalega, Jeffrey Appleget, and Tom Lucas

Introduction

The paper is about synergy. It demonstrates the power of using analytical tools in a logical sequence to generate, develop, and assess new concepts and technologies in warfare. Individually there is nothing new here. Each of the analytical tools described in this paper is thoroughly discussed in academic literature. The use of intelligent experimental design and large scale simulation to advance knowledge in defense and homeland security issues is well describe in Design and Analysis of Experiments by leaders in the Naval Postgraduate School’s Simulation Experiments and Efficient Design (SEED) Center for Data Farming (Sanchez, 2012).1 The power of campaign analysis to gain insight and quantify the value of new technologies and capabilities is covered in the campaign analysis chapter of Wiley’s Encyclopedia of Operations Research and Management Science (Kline, 2010).2 Wargaming’s use to develop concepts for employment of those new technologies and discover possible risks to them are discussed recently in both the Military Operations Research Society’s Phalanx (Appleget, 2015)3 and the journal for Cyber Security and Information Systems Information Analysis Center (Appleget, 2016).4

It is the synergy created by bringing these tools together—linked by officers with tactical experience and educated in the analytical techniques—which this paper addresses.  We provide it as an example of military operations research in practice to advance naval force development and fleet combat tactics.  We tell this story through the lens of our co-author, LT John Tanagela, USN, and one technology, the Medium Displacement Unmanned Surface Vessel (MDUSV), but provide multiple examples of past work similar in nature. LT Tanagela is a qualified Surface Warfare Officer who chose to attend the Naval Postgraduate School to obtain a master’s degree in Operations Research. We select John’s educational and research experience not for its uniqueness, but instead for its normalcy as a NPS OR student with unrestricted line qualifications. Our other co-authors were John’s combat models instructor, campaign analysis instructor, wargaming instructor, and thesis research advisors. We provide descriptions and results from the analytical courses John leveraged to advance his research in employing a MDUSV and highlights from his thesis.  We conclude with brief summaries of other concepts and technologies advanced in this manner.

Triad of Military Applied Courses

The Naval Postgraduate School’s Operations Research students receive three foundational courses in warfare analysis: the introduction to joint combat modeling course, the joint campaign analysis course, and the wargaming course (See Figure 1). In these applied courses they learn to model combat effects in tactical and operational level conflict, integrate these quantitative techniques in campaign analysis and human decision making, and, as a result, develop and quantitatively assess new concepts, tactics, and technologies.  

Figure 1: The three warfare analysis courses provided to NPS operations research students.

The joint combat models course introduces traditional force-on-force modeling, including homogeneous and heterogeneous Lanchester equations, Hughes’ salvo equations, and computer-based combat simulations. It provides our officers the experience to integrate uncertainty into these models to allow for sensitivity analysis and design of experiments in exploring new capabilities.

The joint campaign analysis class leverages these new skills and previous course work in simulation, optimization, decision analysis, search theory, and probability theory by challenging our officers to apply them in a campaign-level scenario. During the course they must develop a concept of operation to meet campaign objectives, model that concept to assess risk using appropriate measures for their objective, and assess “new” technical capabilities by comparing them to their baseline concept analytical results. The results are quantitative military assessments of new concepts and technologies, identification of force capability gaps, and risk assessments (See Figure 2).

Figure 2: The NPS Joint Campaign Analysis class process for applying officers’ new analytical skills to campaign and operational level issues.

The wargaming class provides an overview of the history, uses, and types of wargaming, but focuses its efforts on teaching officers how to design, develop, execute, analyze, and report on an analytical wargame. After learning the fundamentals, officer-teams are assigned real-world sponsors who provide the objective and the issues they desire to address during a wargame. The officer-teams work with the sponsor through execution of an actual wargame, completing their course work by reporting the wargame’s analysis and results to the sponsor. An example is supporting the Navy’s PEO C4I by assessing the Undersea Constellation concept and technology. (See Figure 3)

Figure 3: Sponsor, student wargaming team (in uniform) and players of the NPS wargaming course’s PEO C4I Undersea Constellation Game.

Passing Lessons and Students along

As the NPS operations research students proceed from one course to another in the triad above—where they are joined by Joint Operational Logistics students, Systems Engineering Analysis students, Defense Analysis students, and Undersea Warfare students—there is an opportunity to carry lessons from on course into another, and gain further insight into those concepts and technologies. The teaching faculty work closely to ensure that happens by design. NPS Warfare Analysis faculty and researchers use these courses synergistically to provide insights to real-world sponsors in advancing their concepts, assessing new technologies proposed by DoD labs and industry, and developing new tactics—all the while enhancing our officer-students’ educational experience and sharpening their combat skills. For example, after learning to model a war at sea strike using salvo equations in the joint combat modeling course, the officers are challenged to develop a maritime concept of employment using distributed forces in the joint campaign analysis class, and assess that concept using the salvo equations and simulation. That concept is passed to the wargaming class (usually the same students) to better understand Blue’s decisions in employing distributed forces and Red’s potential reactions. Common scenarios are used between classes with similar forces structures (See Figure 4).

Figure 4: The NPS Joint Campaign Analysis and Wargaming connection. Technologies and concepts analyzed in the Joint Campaign Analysis class are frequently introduced by real-world sponsors in the wargaming class to better understand Blue’s force employments and Red’s reactions to new Blue capabilities.

The results of these capstone classroom efforts are a series of analytical and wargaming briefings, reports, and papers frequently shared with DoD and service organizations. In addition, the work informs other NPS research occurring in unmanned systems, networks, and command and control. Most impactful, however, is when officers are inspired to take a much more detailed look at new capabilities as their thesis research, using the insights gathered from their capstone course work as a foundation to build upon.

Simulating a Half Million Tactical Engagements 

Officers frequently select a new technology explored in their military operations research applied courses to further study in their thesis work. They will draw upon their own operational experience to develop tactics to employ these technologies; work with weapon tactics instructors to refine these tactical situations; identify important variables and parameters within that scenario to further identify needed performance capabilities (range, speed, etc.) and tactical employment (formations, distances, logistics, etc.); build or use an existing simulation to model those tactics; use intelligent experimental design to efficiently explore a range of values for each of identified parameter; execute the experiment—frequently running over a half million tactical engagements; then use advanced data analytics to identify the most important parameters’ values to be successful (See Figure 5.)

Figure 5: Using simulation, intelligent experimental design, and advance data analytics to identify the most import performance parameters of a technology or tactical employment.

These theses’ results are always of great value to warfare and tactics development commands, to resources sponsors, material commands, and defense laboratories developing new technologies. Their insights also inform future capstone course work and NPS technical research. We now turn to our specific example, LT John Tanalega and the Medium Displacement Unmanned Surface Vessel. 

The Technology: The Medium Displacement Unmanned Surface Vessel

The Office of Naval Research (ONR) Medium Displacement Unmanned Surface Vessel (MDUSV) program is a self-deployed surface unmanned system capable of on station times of 60-90 days with ranges of 900-10000 nautical miles depending on speed (3-24 knots) and payload (5-20 tones).5  For the NPS warfare analysis group, we provide it the following future mission capabilities. In an antisubmarine warfare (ASW) role, it receives an off-board cue and hand off, then conducts overt trail with active sonar. It can act as an ASW scout in coordination with area ASW assets like the P-8 maritime patrol aircraft or benthic laid sensors in an Undersea Constellation, conducting large acoustic surveillance using passive and/or active bi-static sonar. It can deploy three Mk 54 or six smaller CRAW torpedoes. In its Intelligence, Surveillance, and Reconnaissance (ISR) role, it can work with surface ships as an advanced scout employing passive sensors, and in an offensive role, can carry eight RBS-15 surface-to-surface missiles. In its mine warfare role, it can conduct mine sweeping with a MK-104 acoustic sweep body or can deploy a clandestine delivered mine in an offensive mining role. It may also act as a forward environmental survey ship, a platform for operational military deception, a tow for a logistics barge, and special operations equipment delivery.

All MDUSVs in these analyses are augmented by TALON (Towed Airborne lift of naval systems)6, which can carry up to 150 pounds of payload up to 1,500 feet. This payload can be communication relays, radar, electronic jammers (or emitters for decoy operations), or optical sensors.

https://gfycat.com/AlivePitifulIberiannase

ACTUV conducting testing with TALONS (DARPA Video)

The MDUSV equipped with TALON has been introduced in several Joint Campaign Analysis classes and Wargaming classes as technical injects to be assessed. LT Tanalega was given the MDUSV as a technical inject for both these classes.

The Student: LT John Tanalega

Academically talented, John has a typical operational background for a Naval Postgraduate School Operations Research student. He graduated from the U.S. Naval Academy in 2011 with a Bachelor of Science degree in English. His initial sea tour was as Auxiliaries and Electrical Officer, and later First Lieutenant, in USS DEWEY (DDG 105). While assigned to DEWEY, he deployed to the Western Pacific, Arabian Gulf, Red Sea, and Eastern Mediterranean. His second division officer tour was as the Fire Control Officer in USS JOHN PAUL JONES (DDG 53), the U.S. Navy’s ballistic missile defense test ship. He attended the Naval Postgraduate School in from 2016 to 2018, where he earned a Master of Science degree in Operations Research and conducted his thesis research in tactical employment of the MDUSV.

Insights from the Joint Campaign Analysis classes, the Wargaming Classes, and other NPS research

As mentioned, the MDUSV with TALON was introduced to a series of Joint Campaign Analysis classes and several NPS wargames. Officer-students have employed it in a variety of missions, from active operational deception to logistics delivery to riverine patrol. Its strongest characteristics are on-station time over unmanned aerial systems, sensor payload capacity over all other unmanned systems, and speed over unmanned underwater systems. Its limitations include vulnerability to attack (it has no active defense), which is mitigated by a low radar cross section making it difficult to target and/or acquire. Our analytical and wargaming teams have found their value forward in offensive naval formations and in defense screening formations (Figure 5). Employing a single or pair of MDUSV with a P-8 maritime patrol aircraft in an area ASW environment is also valuable. (Figure 6).Figure 5: The graph shows the probability of successfully finding and engaging an adversary’s amphibious task force in a South China Sea scenario with a traditional U.S. Surface Action Group (SAG) with and without allied ship support. As MDUSVs are added to the SAG, the probability of mission success is increased. The MDUSV are contributing to the ISR and targeting capabilities of the SAG. This analysis was produced using combat modeling by a Joint Campaign Analysis class team.

Figure 6: This plot shows the simulation results of an Area ASW engagement between a PLA Navy SSK submarine and the MDUSV alone (labeled ACTUV or Anti-Submarine Warfare Continuous Trail Unmanned Vessel, the original DAPRA program name); the MDUSV with a P-8 (labeled both), and the P-8 alone. The Tukey-Kramer test displays significant improvement with the MDUSV and P-8 work as an unmanned-manned pair.

Unique employment concepts are also developed, such as employing paired MDUSVs working as an active-passive team for both active radar and acoustic search. This information is passed to both sponsors and the NPS combat systems research faculty for engineering analysis.

LT John Tanalega’s Joint Campaign Analysis efforts included analyzing the MDUSV’s contribution to a scouting advantage for Blue forces in a surface-to-surface engagement (see figure 5). While a student in the NPS Wargaming Class, John’s team designed, developed, and executed a classified South China Sea game for United States Fleet Forces Command exploring distributed maritime operations and a force structure that included the MDUSV. Lessons from both classes were then applied to his further research in the MDUSV’s best tactical employment in a surface to surface engagement.

Furthering the study by use of simulation (Problem, Tactical Engagement, and Design of Experiments)

In transitioning MDUSV from technical concept to operational reality, several questions are prominent. First, MDUSV is just what its name implies—a vessel. The specific technologies which will make it effective in the maritime domain are all in various stages of development, and they are too numerous for MDUSV to carry all of them. Therefore, an exploration of which capabilities improve operational effectiveness the most is essential. Second, while superior technology is necessary, alone it is not sufficient. USVs must also be used with effective tactics, techniques, and procedures (TTPs) to make them effective SUW platforms. USVs are entirely new to the U.S. Navy, and no historical data exists for their use in combat. Modeling, simulation, and data farming7 provide an opportunity to explore concepts and systems that, today, are only theories and prototypes.

Computer-based modeling and simulation are an effective means of exploring MDUSV capabilities and tactics. Live experiments at-sea are always important to gather real-world data and provide proofs of concepts. However, they require a mature design. They are prohibitively expensive, and the low number of trials that can be conducted reduces the confidence levels of their conclusions. Computer-based modeling and simulation allows us to run tens of thousands of experiments over a wide range of factors. It is, therefore, better suited for design exploration. Using high-performance computing and special techniques in design of experiments (DoE), such as nearly orthogonal and balanced (NOB) designs, simulation experiments that would have taken months or years with legacy factorial designs can be can be performed in a matter of days. This highly efficient technique provides greater insights that inform and direct live experimentation and requirements development.

To explore the effects of MDUSV on surface warfare, LT Tanalega used the Lightweight Interstitials Toolkit for Mission Engineering using Simulation (LITMUS), developed by the Naval Surface Warfare Center, Dahlgren Division (NSWC DD). LITMUS is an agent-based modeling and simulation tool suited specifically to naval combat. Ships, aircraft, and submarines are built by users and customized with weapons, sensors, and behaviors to mirror the capabilities and actions of real-world combat systems. Using an efficient design of experiments and LITMUS scenario, over 29,000 surface battles were simulated with varied active and passive sensor ranges, MDUSV formations and armament, and emissions control EMCON policies.

To compare battle results, LT Tanalega used the probability of a surface force being first to fire a salvo of missiles against an adversary as a measure of effectiveness. This choice is motivated by the maxim of naval combat in the missile era to “fire effectively first,” and indicates a clear advantage in offensive tactics.8

Simulation Results (Unclassified)

Analysis of the simulation output shows that a traditional Blue force combating a very capable Red force in its home waters has 19 percent probability of meeting first-to-fire criteria (See Table 1). Blue surface forces equipped with MDUSV are nearly three times as likely to be first-to-fire. Analysis also found the increase in performance is due primarily to the extended sensor range afforded by the TALONS platform on scouting MDUSV. Based on the presence of MDUSV alone, Blue improves its probability of being first-to-fire by a factor of nearly three (from 19 percent to 56 percent), as shown in Table 1. Though a SAG will likely have helicopters embarked, it is important to note that helicopters are more limited in endurance. Further, the use of a helicopter in Phase II of a conflict poses exceptional risk to human pilots, especially if the enemy is equipped with capable air defense systems. We therefore modeled “worst case” without an airborne helo during the engagements. Given the long endurance of MDUSV and its autonomous nature, MDUSV represents a worthwhile investment for the surface force. When numerically disadvantaged and fighting in dangerous waters, MDUSV levels the odds for Blue.

Table 1. MDUSV Effect on First-to-Fire Probability

Advanced partition tree analysis of the data noted a breakpoint at an MDUSV passive sensor range of 36nm. With this range or greater, Blue was first-to-fire in 81% of the design replications (Table 2). Using the mathematical horizontal slant range formula to approximate visual horizon, this equates to a tether height of approximately 1020 feet. Given the current 150-pound weight limit for a TALONS payload, a passive electro-optical sensor may be more feasible than an active radar. Placing a high power radar, with power amplification, transmission, and signals processing in a TALONS mission package may not be feasible in the near term. Further study, from an electrical engineering and systems engineering perspective, is required.

Table 2. MDUSV Passive Sensor Range Effect on First-to-Fire Probability

While arming MDUSV provides a marginal increase in first-to-fire performance with EMCON policies 1 and 2, it has a small negative effect with EMCON policy 3. Ultimately, first-to-fire in each replication is driven by scouting—who saw whom and fired first. Since detecting the enemy is a necessary condition to shooting him, providing MDUSV with over the horizon sensor capabilities should be the first concern. This will allow the missile shooters of the surface and air forces to employ their weapons without emitting with their own sensors.

Furthering the Study by Use of Wargaming

The Fleet Design Wargame consisted of three separate gameplay sessions. During each session, the BLUE Team received a different order of battle. During gameplay, the study team observed the players’ decisions to organize and maneuver their forces, as well as the rationale behind those decisions. After two to three turns of gameplay, a member of the study team facilitated a seminar in which all players discussed the game results. Each team, BLUE and RED, had a leader playing as the “Task Force Commander,” and a supporting staff. The Blue Team consisted of three SWOs, a Navy pilot, an Air Force pilot, a Navy cryptologic warfare officer, two human resources officers, and a supply officer. The RED team consisted of three SWOs, one Marine NFO, one Navy cryptologic warfare officer, two Naval intelligence officers, and two supply officers. Search was adjudicated using probability tables and dice. Combat actions are being analyzed using combat models, such as a stochastic implementation of the salvo model.

Wargaming Results (unclassified)

The game demonstrated the combat potential that networked platforms, sensors, and weapons provide. Long endurance systems, such as the MQ-4C Triton and the Medium Displacement Unmanned Surface Vehicle (MDUSV) can be the eyes and ears of missile platforms like destroyers. The game also showed that with its range alone, an ASuW-capable Maritime Strike Tomahawk provides BLUE forces with greater flexibility when stationing units. On the other hand, unmanned systems also provide RED with a wider range of options to escalate and test U.S. resolve during phase 1. The study team also found that expeditionary warfare can have a double effect on the sea control fight. The presence of an LHA is a “double threat” to the enemy, acting as both an F-35B platform, and as a means of landing Marines.

Further Research Work on the MDUSV

Future research is required to optimize MDUSV design and to better characterize the human element of MDUSV employment and coordination. While TALONS provides a unique elevated sensor platform, a 150-pound maximum payload will be a considerable constraint. Passive sensors, such as EO/IR, may be mounted on the TALONS platform, but the weight required to house a high-performance radar will be a higher hurdle to overcome. Though this can be mitigated by changing the parasail design to increase lift, this will require more in-depth study of the engineering trade-offs. Also, the process will have to be automated. TALONS testing to-date has involved members of the test team deploying and recovering it.

Though this study was performed with software-driven automata, the tactical decisions leading-up to the placement of MDUSV will be made by humans. The long endurance of MDUSV makes it an ideal platform for deception. Tactical and operational level wargaming may yield insight into the affect that adding MDUSV will have on human decision-making.

As this study was the first SUW simulation of a man-machine teamed force, the scope of the agents explored was purposefully limited. To add to the realism of the experiment, and to explore future tactics, the addition of helicopters and other scout aircraft to the scenario may yield further insight into the design requirements and tactical employment of MDUSV.

MDUSVs in this study were homogenously equipped and shared the same EMCON policy. However, if each MDUSV is given only one capability, such as a particular sensor type or a weapon, their strengths may offset their weaknesses. Grouping several MDUSVs with different mission load-outs may be an alternative to sending a manned multi-mission ship like a DDG. It may also prove to be more resilient to battle damage, as the loss of a single MDUSV would mean the loss of an individual mission, while the mission-kill of a DDG would result in a loss of all combat capability. Further simulation and analysis with LITMUS may yield insights into this trade-off.

Other Examples

Although we have highlighted LT Tanalega’s recent research to demonstrate how the NPS Warfare Analysis group integrates officer’s tactical experience, classroom work, and more detailed research to provide insights in new technologies, tactics, and operational concepts, many other examples can be mentioned. These include tactics to defeat swarms of unmanned combat aerial vehicles, best use of lasers aboard ships, developing tactics to counter maritime special operations insertion, employing expeditionary basing in contested environments, exploration in distributed logistics, best convoy screening tactics against missile-capable submarines, and use of sea bed sensors and systems. Analytical red teaming is also used for sponsors wishing to better understand the resilience and vulnerability of their new systems—employed in the same classes mentioned in this paper. These results are shared with DoD and Navy sponsors interested in getting robust and quantitative assessments of the strengths and weaknesses of their systems.

Although the NPS Warfare Analysis group is pleased to make real-world contributions as part of our students’ education experience, our greatest satisfaction comes from observing the junior officer’s military professional growth that accompanies the application of their newly learned analytical skills. To model and analyze an engagement, a thorough understanding of the tactical factors and performance parameters is necessary. By the end of our students’ experience, they have gained expertise in that mission and in operations analysis—a perfect blend to contribute to our nation’s future force architecture and design.

CAPT Jeff Kline, USN (ret.) is a Professor of Practice in Military Operations Research at the Naval Postgraduate School. He holds the OPNAV N9I Chair of Systems Engineering Analysis and teaches Joint Campaign Analysis, Systems Analysis, and Risk Assessment. jekline@nps.edu

Dr. Jeff Appleget is a retired Army Colonel who served as an Artilleryman and Operations Research analyst in his 30-year Army career. He teaches the Wargaming Analysis, Combat Modeling, and Advanced Wargaming Applications courses.  Jeff directs the activities of the NPS Wargaming Activity Hub. He is the Joint Warfare Analysis Center (JWAC) Chair of Applied Operations Research at NPS. jaappleg@nps.edu

Dr. Tom Lucas is a Professor in the Operations Research Department at the Naval Postgraduate School (NPS), joining the Department in 1998. Previously, he worked as a statistician and project leader for six years at RAND and as a systems engineer for 11 years at Hughes Aircraft Company. Dr. Lucas is the Co-Director of the NPS Simulation, Experiments, and Efficient Design (SEED) Center and has advised over 100 graduate theses using simulation and efficient experimental design to explore  a variety of tactical and technical topcs. twlucas@nps.edu

LT John F. Tanalega is a Navy Surface Warfare Officer from North Las Vegas, Nevada and is a 2011 graduate of the United States Naval Academy His first operational tour was as Auxiliaries and Electrical Officer, and later as First Lieutenant, in USS DEWEY (DDG 105). He next served as Fire Control Officer in USS JOHN PAUL JONES (DDG 53). As an operations analysis student at the Naval Postgraduate School, his research focused on combat modeling, campaign analysis, and analytic wargaming. After graduating from NPS, he reported to the Surface Warfare Officer School (SWOS) in Newport, Rhode Island, in preparation for his next at-sea assignment.

References

1. Sanchez, S.M., T.W. Lucas, P.J. Sanchez, C.J. Nannini, and H. Wong, “Designs for Large-Scale Simulation Experiments with Applications to Defense and Homeland Security,” Design and Analysis of Experiments, volume III, by Hinckleman (ed.), Wiley, 2012, pp. 413-441

2. Kline, J., Hughes, W., and Otte, D., 2010, “Campaign Analysis: An Introductory Review,” Wiley Encyclopedia of Operations Research and Management Science, ed Cochran, J. John Wiley & Sons, Inc

3. Appleget, J., Cameron, F., “Analytical Wargaming on the Rise,” Phalanx, Military Operations Research Society, March 2015, pp 28-32

 4. Appleget, J., Cameron, F., Burks, R., and Kline, J., “Wargaming at the Naval Postgraduate School,” CSIAC Journal, Vol 4, No 3, November 2016 pp 18- 23

5. The Defense Advanced Research Projects Agency (DARPA) has demonstrated a prototype “Sea Hunter”. Information may be found at https://www.darpa.mil/news-events/2018-01-30a

6. For more information on the TALON visit https://www.youtube.com/watch?v=BWEoV88PtTY

7. See Sanchez, ibid.

8. Hughes, W.P., Fleet Tactics and Coastal Combat, 2nd ed, Naval Institute Press, Annapolis, Maryland, 2000.

9. Wagner D.H., Mylander, W.C., Sanders, T.J., Naval Operations Analysis, 3rd ed, Naval Institute Press, Annapolis, Maryland, 1999, pp 109-110.

Featured Image: The Medium Displacement Unmanned Surface Vehicle (MDUSV) (DARPA photo)