不规则凸部署区域下通信距离受限的协同侦察系统站点优化部署方法

Synergetic Reconnaissance System Optimal Deployment Method with Limited Communication Distance under Irregular Convex Deployment Area

针对不规则凸部署区域下,通信距离受限的协同侦察系统站点优化部署问题,提出一种具有复杂边界区域初始化功能的粒子群优化部署方法。首先,以不规则凸部署区域和最大通信距离为约束条件,以监视区域的最大几何精度因子为目标函数,建立优化模型。其次,分析传统基于惩罚因子的粒子群优化技术因站点修正引起的优化效率下降问题,重构优化模型,提出一种具有复杂边界区域初始化功能的粒子群优化算法。最后,数值仿真表明,相比传统基于惩罚因子的粒子群优化算法,所提算法优化效率更高。

Aiming at the problem of synergetic reconnaissance system optimal deployment with limited communication distance in irregular convex deployment area, a particle swarm optimization deployment method with complex boundary area initialization function is proposed. Firstly, an optimization model is constructed by taking the maximum geometric dilution of precision of the surveillance area as the objective function, considering the irregular convex deployment area and the limited communication distance as constraint conditions. Then, considering the penalty-factor-based particle swarm optimization algorithm, to avoid the low optimal efficiency caused by modified stations, the optimization model is reconstructed, and a particle swarm optimization algorithm with the initialization function of complex boundary area is proposed.Finally, numerical results show that compared with the penalty-factor-based particle swarm optimization algorithm, the proposed algorithm has a better convergency effect.