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引用本文:刘赞,刘晓鹏,陈西宏,谢泽东,刘强.对流层散射无源监视系统最优布局方法[J].国防科技大学学报,2021,43(1):103-108.[点击复制]
LIU Zan,LIU Xiaopeng,CHEN Xihong,XIE Zedong,LIU Qiang.Optimal arrangement for passive troposcatter surveillance system[J].Journal of National University of Defense Technology,2021,43(1):103-108[点击复制]
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对流层散射无源监视系统最优布局方法
刘赞1,2,刘晓鹏3,陈西宏1,谢泽东4,刘强1
(1. 空军工程大学 防空反导学院, 陕西 西安 710051;2. 中国人民解放军9356;7.部队, 河北 保定 071000;3. 中国人民解放军93448.部队, 天津 300270;4. 中国人民解放军9343;6.部队, 北京 101100)
摘要:
    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。
关键词:  无源监视系统  对流层散射  几何精度因子  粒子群优化
DOI:10.11887/j.cn.202101014
投稿日期:2019-07-25  
基金项目:国家自然科学基金资助项目(61671468,61701525)
Optimal arrangement for passive troposcatter surveillance system
LIU Zan1,2, LIU Xiaopeng3, CHEN Xihong1, XIE Zedong4, LIU Qiang1
(1. Air and Missile Defense College, Air Force Engineering University, Xi′an 710051, China;The PLA Unit 93567, Baoding 071000, China;3. The PLA Unit 93448, Tianjin 300270, China;4. The PLA Unit 93436, Beijing 101100, China)
Abstract:
    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.
Key words:  passive surveillance system  troposcatter  geometry dilution of precision  particle swarm optimization
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