Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

A Hydroacoustic Adversarial Strategy Based on the Matrix Game Theory

Version 1 : Received: 10 August 2023 / Approved: 10 August 2023 / Online: 11 August 2023 (07:59:21 CEST)
Version 2 : Received: 11 November 2023 / Approved: 13 November 2023 / Online: 14 November 2023 (07:54:08 CET)

How to cite: Zhao, H.; Cheng, H.; Chen, Y. A Hydroacoustic Adversarial Strategy Based on the Matrix Game Theory. Preprints 2023, 2023080885. https://doi.org/10.20944/preprints202308.0885.v2 Zhao, H.; Cheng, H.; Chen, Y. A Hydroacoustic Adversarial Strategy Based on the Matrix Game Theory. Preprints 2023, 2023080885. https://doi.org/10.20944/preprints202308.0885.v2

Abstract

Due to the great threat of torpedo against surface warships, an efficient hydroacoustic countermeasure system must output realtime strategies that can accommodate varied antagonizing scenarios. Aiming at the decision-making problem in the anti-torpedo hydroacoustic countermeasure cases, this paper proposes an intelligent adversarial strategy based on the game theory. By discretizing the strategy space of both sides, a matrix game model is established with the payoff characterized by the capture probability of attacking torpedo. An improved simplex algorithm is then developed to get the mixed-strategy Nash equilibrium of the game model, with which preferred avoiding strategies can be obtained to minimize the risk of being captured by the attacking torpedo. Based on the probabilistic view of preferred adversarial strategy, the launching strategy of floating acoustic decoy can be achieved, and the evasion trajectory of warship can be confirmed simultaneously. Numerical simulation demonstrates that the proposed method can generate realtime intelligent antagonizing strategy, and consequently, can improve the survival rate of surface warships in the of anti-torpedo countermeasure scenarios.

Keywords

hydroacoustic countermeasure; game theory; Gaussian distribution; linear programming; simplex method

Subject

Computer Science and Mathematics, Applied Mathematics

Comments (1)

Comment 1
Received: 14 November 2023
Commenter: Yu Chen
Commenter's Conflict of Interests: Author
Comment: attached simulation results for the game-based decision model
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