对流层散射无源监视系统最优布局方法

为提高对流层散射无源监视系统对辐射源的定位精度,利用改进粒子群优化算法对分布式监视节点进行最优布局设计。推导了基于电磁波方位到达角定位机制下的几何精度因子。在改进粒子群优化算法中,采用混沌理论初始化所有粒子的初始参数;通过自适应变化的惯性权重和学习因子来提高算法寻优能力;为防止粒子陷入局部最优,利用双子群机制进行寻优,并在两子群之间进行交叉变异操作,以增加粒子的多样性。仿真结果表明:相对于几种常规的布站方式,所提算法能够明显提高监视系统对辐射源的定位精度,运行时间较遍历寻优算法有所减少。

Optimal arrangement for passive troposcatter surveillance system

To improve the localization accuracy of angle of arrival in passive troposcatter surveillance system, an improved particle swarm optimization was employed to arrange distributed nodes. Geometry dilution of precision was deduced and treated as the evaluation index. Chaos theory was adopted to modulate the position parameters for particle swarm optimization. Adaptive inertia weigh and learning factors were introduced to improve the optimization ability. In order to avoid getting stuck at local optimization and enhance the global exploration ability, swarm optimization based on two subgroups was adopted. The crossover operation and mutation operation were carried out based on two subgroups as well. Simulation results demonstrate that the proposed algorithm can obviously improve the location performance of passive troposcatter surveillance system, and the operating time is less than that of the traversal optimization.