Nondominated Strategies for Cautious to Courageous Aerial Navigation

Alkaher, David; Moshaiov, Amiram

doi:10.2514/1.g003285

Cited by 8 publications

(4 citation statements)

References 18 publications

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“…Hence, an analysis is done similarly to Section 4 in (Alkaher and Moshaiov, 2018). However, in the current discussion, the optimal mic2-locations are desired, rather than proving the satisfaction of the generality criteria among the compared strategies (mic2-locations).…”

Section: Pareto Optimization Based Microphone Constellation Designmentioning

confidence: 99%

“…Inspired by (Alkaher and Moshaiov, 2018), a new domination criterion is proposed. Accordingly, a strategy is defined as generally-dominated if it satisfies the following three conditions: if it is not one of the strategies that constitute the worst-case Pareto front; if under each of the devised set of scenarios, at least one of the worst-case Pareto front's strategies is non-dominated by it; and if under at least one scenario, it is dominated by at least one of these strategies.…”

Section: General-domination Criterionmentioning

confidence: 99%

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Dual-Microphone Speech Reinforcement System With Howling-Control for In-Car Speech Communication

Alkaher

Cohen

2022

Front. Signal Process.

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In this paper, we address the problem of dual-microphone speech reinforcement for improving in-car speech communication via howling control. A speech reinforcement system acquires speech from a speaker’s microphone and delivers it to the other listeners in the car cabin through loudspeakers. A car cabin’s small space makes it vulnerable to acoustic feedback, resulting in the appearance of howling noises. The proposed system aims to maintain a desired high amplification gain over time while not compromising the output speech quality. The dual-microphone system consists of a microphone for speech acquisition and another microphone that monitors the environment for howling detection, where its location depends on its howling detection sensitivity. The proposed algorithm contains a gain-control segment based on the magnitude-slope-deviation measure, which reduces the amplification-gain in the case of howling detection. To find the optimal locations of the howling-detection microphone in the cabin, for a devised set of scenarios, a Pareto optimization method is applied. The Pareto optimization considers the bi-objective nature of the problem, i.e., minimizing both the relative gain-reduction and the overall speech distortion. It is shown that the proposed dual-microphone system outperforms a single-microphone-based system. The performance improvement is demonstrated by showing the higher howling detection sensitivity of the dual-microphone system. Additionally, a microphone constellation design process, for optimal howling detection, is provided through the utilization of the Pareto fronts and anti-fronts approach.

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Section: Pareto Optimization Based Microphone Constellation Designmentioning

confidence: 99%

Section: General-domination Criterionmentioning

confidence: 99%

Dual-Microphone Speech Reinforcement System With Howling-Control for In-Car Speech Communication

Alkaher

Cohen

2022

Front. Signal Process.

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“…such as higher miss distance, less energy consumption [29] and higher terminal superiority. Therefore, this problem that involves several objectives has no unique optimal solution but rather a set of approximate Pareto optimal solutions, which can exhibit different tactical requirements of the pilot [30]. Despite its crucial position in a modern dogfight, this specific problem has received less attention than it should in the open literature.…”

Section: Introductionmentioning

confidence: 99%

Nondominated Maneuver Strategy Set With Tactical Requirements for a Fighter Against Missiles in a Dogfight

et al. 2020

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Dogfight is often a continuous and multi-round process with missile attacks. If the fighter only considers the security when evading the incoming missile, it will easily lose the superiority in subsequent air combat. Therefore, it is necessary to maintain as much tactical superiority as possible while ensuring a successful evasion. The amalgamative tactical requirements of achieving multiple evasive objectives in a dogfight are taken into account in this paper. A method of generating a nondominated maneuver strategy set for evading missiles with tactical requirements is proposed. The tactical requirements include higher miss distance, less energy consumption, and higher terminal superiority. Then the evasion problem is defined and reformulated into a multi-objective optimization problem, which is solved by a redesigned multiobjective evolutionary algorithm based on decomposition (MOEA/D). Simulations are used to demonstrate the feasibility and effectiveness of the approach. A set of approximate Pareto-optimal solutions satisfying the tactical requirements are obtained. These solutions can not only guide the fighter to avoid being hit but also achieve the goal of relatively reducing energy consumption and improving terminal superiority. INDEX TERMS dogfight, decision-making, evasive maneuvers, multi-objective evolutionary algorithm, tactical requirements.

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“…Besides, decreasing energy consumption (EC) means UCAV has more energy for subsequent combat after a successful evasion. So this problem that involves three self-conflicting objectives has no unique optimal solution but rather a set of Pareto-optimal strategies [35], and strategy choice should be decided by UCAV's mission commands or current battlefield situation.…”

Section: Introductionmentioning

confidence: 99%

Evasive Maneuver Strategy for UCAV in Beyond-Visual-Range Air Combat Based on Hierarchical Multi-Objective Evolutionary Algorithm

et al. 2020

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This study deals with the autonomous evasive maneuver strategy of unmanned combat air vehicle (UCAV), which is threatened by a high-performance beyond-visual-range (BVR) air-to-air missile (AAM). Considering tactical demands of achieving self-conflicting evasive objectives in actual air combat, including higher miss distance, less energy consumption and longer guidance support time, the evasive maneuver problem in BVR air combat is defined and reformulated into a multi-objective optimization problem. Effective maneuvers of UCAV used in different evasion phases are modeled in threedimensional space. Then the three-level decision space structure is established according to qualitative evasive tactical planning. A hierarchical multi-objective evolutionary algorithm (HMOEA) is designed to find the approximate Pareto-optimal solutions of the problem. The approach combines qualitative tactical experience and quantitative maneuver decision optimization method effectively. Simulations are used to demonstrate the feasibility and effectiveness of the approach. The results show that the obtained set of decision variables constitutes nondominated solutions, which can meet different evasive tactical requirements of UCAV while ensuring successful evasion.INDEX TERMS BVR air combat, evasive maneuver, hierarchical evolutionary algorithm, multi-objective optimization, UCAV.

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Nondominated Strategies for Cautious to Courageous Aerial Navigation

Cited by 8 publications

References 18 publications

Dual-Microphone Speech Reinforcement System With Howling-Control for In-Car Speech Communication

Dual-Microphone Speech Reinforcement System With Howling-Control for In-Car Speech Communication

Nondominated Maneuver Strategy Set With Tactical Requirements for a Fighter Against Missiles in a Dogfight

Evasive Maneuver Strategy for UCAV in Beyond-Visual-Range Air Combat Based on Hierarchical Multi-Objective Evolutionary Algorithm

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