According to the problem of transmitter and receiver node arrangement of multistatic buoy in sea area surveillance,this paper presents an array optimization method based on GAPSO(genetic algorithm-particle swarm optimization).Firstly,based on Argo buoy data and ETOPO1 topographic data,the transmission loss in the real marine environment was calculated,and then the performance evaluation model of multistatic buoy array was estab-lished by probability fusion based on the bistatic sonars equation.Secondly,we took the effective coverage rate of the model as the objective function,and then particle swarm optimization(PSO),genetic algorithm(GA)and GAPSO were used to optimize the array.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,the GAPSO has obvious improvement in search ability and convergence speed,which achieves the purpose of optimal defense de-ployment.
NETL
NSTL
万方数据
维普
