A multistatic buoy placement optimization algorithm

Ruiting Qin; Yun Zhao; Qingyu Cai; Haiyang Sun; Xiaoan Tang; Lai Ming

doi:10.1117/12.2652828

20 October 2022 A multistatic buoy placement optimization algorithm

Ruiting Qin, Yun Zhao, Qingyu Cai, Haiyang Sun, Xiaoan Tang, Lai Ming

Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 123502W (2022) https://doi.org/10.1117/12.2652828
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China

Abstract

According to the problem of transmitter and receiver node arrangement of multistatic buoy in underwater area surveillance, this paper presents an array optimization method based on GAPSO (Genetic Algorithm - Particle Swarm Optimization). Firstly, the performance evaluation model of multistatic buoy array is established by probability fusion based on the bistatic sonars equation. We take the effective coverage rate of the model as the objective function, then Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are used to optimize the array. Secondly, PSO and GA are combined to improve the global searching ability and convergence speed. The simulation results show that the coverage ability of the optimized multistatic buoy array is significantly improved compared with the traditional array scheme. Compared with PSO and GA, fused GAPSO has obvious improvement in search ability and convergence speed, which achieves the purpose of optimal defense deployment.

Citation Download Citation

Ruiting Qin, Yun Zhao, Qingyu Cai, Haiyang Sun, Xiaoan Tang, and Lai Ming "A multistatic buoy placement optimization algorithm", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 123502W (20 October 2022); https://doi.org/10.1117/12.2652828

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