Compared with traditional shore-based over-the-horizon radar,reconnaissance aircraft,reconnaissance satellite and other reconnaissance and positioning means,shipborne over-the-horizon reconnaissance and positioning system has the advantages of flexible deployment,low cost and wide warning range,but relative to the target location will affect the accuracy of multi-ship target positioning.To solve the above problems,this paper proposes an optimization method of multi-ship positioning based on improved particle swarm optimization algorithm,and takes geometric dilution of precision of direction finding cross positioning as fitness function,and then iterates the optimal positioning method.In the multi-ship cooperative reconnaissance scenario,by comparing the optimization results of this algorithm and standard particle swarm optimization algorithm,the optimization effect and iteration times of the two methods in this scenario are simulated and analyzed.The proposed method has the characteristics of faster convergence speed and better optimization results.
关键词
协同侦察/布站优化/测向交叉定位/几何精度因子/粒子群优化算法
Key words
cooperative reconnaissance/distribution station optimization/direction finding cross location/geometric dilution of precision/particle swarm optimization algorithm
维普
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