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Your search keyword '"Weapon Engagement Zone"' showing total 8 results
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8 results on '"Weapon Engagement Zone"'

1. A Multi-UCAV cooperative occupation method based on weapon engagement zones for beyond-visual-range air combat

Author

Wei-hua Li, Jing-ping Shi, Yun-yan Wu, Yue-ping Wang, and Yong-xi Lyu

Subjects
Unmanned combat aerial vehicle, Cooperative occupation, Beyond-visual-range air combat, Weapon engagement zone, Discrete particle swarm optimization, Formation switching, Military Science
Abstract

Recent advances in on-board radar and missile capabilities, combined with individual payload limitations, have led to increased interest in the use of unmanned combat aerial vehicles (UCAVs) for cooperative occupation during beyond-visual-range (BVR) air combat. However, prior research on occupational decision-making in BVR air combat has mostly been limited to one-on-one scenarios. As such, this study presents a practical cooperative occupation decision-making methodology for use with multiple UCAVs. The weapon engagement zone (WEZ) and combat geometry were first used to develop an advantage function for situational assessment of one-on-one engagement. An encircling advantage function was then designed to represent the cooperation of UCAVs, thereby establishing a cooperative occupation model. The corresponding objective function was derived from the one-on-one engagement advantage function and the encircling advantage function. The resulting model exhibited similarities to a mixed-integer nonlinear programming (MINLP) problem. As such, an improved discrete particle swarm optimization (DPSO) algorithm was used to identify a solution. The occupation process was then converted into a formation switching task as part of the cooperative occupation model. A series of simulations were conducted to verify occupational solutions in varying situations, including two-on-two engagement. Simulated results showed these solutions varied with initial conditions and weighting coefficients. This occupation process, based on formation switching, effectively demonstrates the viability of the proposed technique. These cooperative occupation results could provide a theoretical framework for subsequent research in cooperative BVR air combat.

Published
2022
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2. Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network

Author

Dantas, Joao P. A., Costa, Andre N., Geraldo, Diego, Maximo, Marcos R. O. A., Yoneyama, Takashi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Britto, André, editor, and Valdivia Delgado, Karina, editor

Published
2021
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3. MV-22B LOGISTICS FLIGHTS SUSTAINING THE AVIATION COMBAT ELEMENT IN THE INDO-PACIFIC

Author

Apte, Aruna U., Doerr, Kenneth H., Department of Defense Management (DDM), Kelly, Janelle M., McInnis, David J., Apte, Aruna U., Doerr, Kenneth H., Department of Defense Management (DDM), Kelly, Janelle M., and McInnis, David J.

Abstract

This research analyzes the usage of the MV-22B for logistics or passenger/mail/cargo sorties in the Indo-Pacific region. Specifically, it focuses on its application to the transport of high-priority aircraft parts from locations ashore to the aviation combat element embarked on an amphibious assault ship, multipurpose (LHD) or amphibious assault ship, general purpose (LHA). Supporting the aviation combat element as it conducts distributed aviation operations inside and on the periphery of the weapon engagement zone in the Pacific is widely unknown in an expeditionary advanced base framework in the great power competition. Two hypothetical scenarios are presented as frameworks to aid in the understanding of MV-22B utilization for logistics. Real-world high-priority aircraft part demand and sortie data, provided by the operating forces, were collected, analyzed, and inserted into the scenarios. The resulting outputs provide new insight on aircraft employment and risks associated with sorties in the engagement zone. Recommendations are given for improving sustainment capabilities while operating in a Marine expeditionary unit construct., Captain, United States Marine Corps, Major, United States Marine Corps, Approved for public release. Distribution is unlimited.

Published
2023

4. OPTIMIZING THE SUSTAINMENT NETWORK FOR EXPEDITIONARY ADVANCED BASE OPERATIONS

Author

Szechtman, Roberto, Atkinson, Michael P., Kress, Moshe, Operations Research (OR), Johnson, Lane M., Szechtman, Roberto, Atkinson, Michael P., Kress, Moshe, Operations Research (OR), and Johnson, Lane M.

Abstract

The Marine Corps’ Expeditionary Advanced Base Operations (EABO) concept places small, distributed forces within a contested environment to achieve strategic effects. However, current sustainment platforms and infrastructure lack the ability to provide required support in the context of EABO. As such, the Marine Corps must develop a novel resilient and robust distribution network capable of providing responsive sustainment to forces conducting EABO. To solve this problem, we develop a two-stage stochastic mixed integer linear program that seeks to minimize the cost of instantiating and operating a sustainment network across a range of possible in-context scenarios. Among the network’s constraints are demand, cost, capacity, risk, and supply considerations. Of these constraints, demand introduces the most uncertainty. Fluctuations in demand come from a variety of factors to include intensity of conflict, attrition, and other combat dynamics. Through the explicit and judicious modeling of such uncertainty, our model provides solutions that are robust to a wide range of demand scenarios. By implementing our model in a notional operational scenario in the South China Sea, we provide results and insights that ultimately assist the Marine Corps by providing an analytical basis for determining an optimal network comprised of locations, capacities, and prepositioning quantities for sustaining forces conducting EABO in the western Pacific., Outstanding Thesis, Captain, United States Marine Corps, Approved for public release. Distribution is unlimited.

Published
2023

5. MV-22B LOGISTICS FLIGHTS SUSTAINING THE AVIATION COMBAT ELEMENT IN THE INDO-PACIFIC

Author

Kelly, Janelle M., McInnis, David J., Apte, Aruna U., Doerr, Kenneth H., and Department of Defense Management (DDM)

Subjects
Marine Corps, logistics, aviation combat element, weapon engagement zone, 31st Marine Expeditionary Unit, Indo-Pacific, MV-22B, US Transportation Command, contested logistics, readiness, expeditionary advanced base
Abstract

This research analyzes the usage of the MV-22B for logistics or passenger/mail/cargo sorties in the Indo-Pacific region. Specifically, it focuses on its application to the transport of high-priority aircraft parts from locations ashore to the aviation combat element embarked on an amphibious assault ship, multipurpose (LHD) or amphibious assault ship, general purpose (LHA). Supporting the aviation combat element as it conducts distributed aviation operations inside and on the periphery of the weapon engagement zone in the Pacific is widely unknown in an expeditionary advanced base framework in the great power competition. Two hypothetical scenarios are presented as frameworks to aid in the understanding of MV-22B utilization for logistics. Real-world high-priority aircraft part demand and sortie data, provided by the operating forces, were collected, analyzed, and inserted into the scenarios. The resulting outputs provide new insight on aircraft employment and risks associated with sorties in the engagement zone. Recommendations are given for improving sustainment capabilities while operating in a Marine expeditionary unit construct. Captain, United States Marine Corps Major, United States Marine Corps Approved for public release. Distribution is unlimited.

Published
2022

6. OPTIMIZING THE SUSTAINMENT NETWORK FOR EXPEDITIONARY ADVANCED BASE OPERATIONS

Author

Johnson, Lane M., Szechtman, Roberto, Atkinson, Michael P., Kress, Moshe, and Operations Research (OR)

Subjects
EABO, Anti-Access/Area Denial, USMC, WEZ, prepositioning, Stand-in Forces, A2AD, programming, United States Marine Corps, Mixed Integer Linear Program, risk pooling, FIC, EAB, stochastic, hedging, MILP, risk, People’s Republic of China, SIF, First Island Chain, logistics, Weapon Engagement Zone, Expeditionary Advanced Base Operations, sustainability, Maritime Prepositioning Force, CPG, Commandant’s Planning Guidance, contested, Expeditionary Advanced Base, PRC, optimization, MPF
Abstract

The Marine Corps’ Expeditionary Advanced Base Operations (EABO) concept places small, distributed forces within a contested environment to achieve strategic effects. However, current sustainment platforms and infrastructure lack the ability to provide required support in the context of EABO. As such, the Marine Corps must develop a novel resilient and robust distribution network capable of providing responsive sustainment to forces conducting EABO. To solve this problem, we develop a two-stage stochastic mixed integer linear program that seeks to minimize the cost of instantiating and operating a sustainment network across a range of possible in-context scenarios. Among the network’s constraints are demand, cost, capacity, risk, and supply considerations. Of these constraints, demand introduces the most uncertainty. Fluctuations in demand come from a variety of factors to include intensity of conflict, attrition, and other combat dynamics. Through the explicit and judicious modeling of such uncertainty, our model provides solutions that are robust to a wide range of demand scenarios. By implementing our model in a notional operational scenario in the South China Sea, we provide results and insights that ultimately assist the Marine Corps by providing an analytical basis for determining an optimal network comprised of locations, capacities, and prepositioning quantities for sustaining forces conducting EABO in the western Pacific. Outstanding Thesis Captain, United States Marine Corps Approved for public release. Distribution is unlimited.

Published
2022

7. A New Situation Assessment Model for Modern Within-Visual-Range Air Combat.

Author

Siyu, Zhou, Wenhai, Wu, Shengming, Zhou, and Zhigang, Qu

Abstract

Abstract: Situation assessment is a critical component of pilot decision-making assistant and UAV autonomous decisionmaking. The shorcomings of traditional situation assessment model for modern within-visual-range(WVR) air combat was pointed out. A new situation assessment model based on different weapon engagement zones(WEZs) of guns and air-to-air missiles was developed. The new model are made by a set of piecewise functions based on orientation, range, velocity, and height. The advantages of the new situation assessment model was demonstrated. [Copyright &y& Elsevier]

Published
2012
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8. Weapon Engagement Zone Maximum Launch Range Approximation using a Multilayer Perceptron

Author

Birkmire, Brian Michael

Subjects
Computer Engineering, Computer Science, air-to-air missile, weapon engagement zone, artificial neural network, maximum launch range, virtual simulation
Abstract

This thesis investigates the use of an artificial neural network (ANN), in particular a Multi-Layer Perceptron (MLP), to perform function approximation on truth data representing a weapon engagement zone's (WEZ) maximum launch range. The WEZ of an air-to-air missile represents the boundaries and zones of effectiveness for a one-vs-one air-to-air combat engagement [13]. The intent is for the network to fuse table lookup and interpolation functionality into a physically compact and computationally efficient package, while improving approximation accuracy over conventional methods.Data was collected from simulated firings of a notional air-to-air missile model and used to train a two layer perceptron using the Bayesian Regularization training algorithm. The resulting best network was able to improve approximation accuracy and reduce the amount of truth data needed. With basic feasibility established, future efforts can be focused on more comprehensive comparisons with existing methods and deployment within practical models.

Published
2011

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