针对时差定位体制的协同侦察系统,以提升侦察监视区域内辐射源的定位精度为目的,研究了通信距离受限下系统站点优化部署问题。针对监视区域离散化网格单元辐射源定位的几何精度因子,根据最差性能最优准则建立了系统站点优化部署的数学模型。提出了一种基于混合编码粒子群优化(PSO)算法的系统站点优化部署算法。仿真结果表明:与传统基于统一编码PSO的站点优化部署算法相比,混合编码PSO收敛速度更快,且定位误差更小。

To promote the localization performance of radiation sources in a surveillance region, the optimization placement is studied for a synergetic reconnaissance system constituted by multiple time different of arrival location systems with limited communication distance. Addressing on the geometric dilution of precision of emitters passive location in discretized region grids, an optimization placement problem for the synergetic reconnaissance system is formulated with the criterion of worst-case performance optimization. An optimization placement algorithm based on mixed coding particle swarm optimization ( PSO) is proposed. Simulation results demonstrate that comparing with the traditional uniform coding PSO, the proposed algorithm achieves better performance with faster convergence and lower location error.

TN971

国家自然科学基金资助项目