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基于改进量子粒子群算法的雷达布站优化研究
引用本文:廖玉忠,张自林.基于改进量子粒子群算法的雷达布站优化研究[J].航天电子对抗,2011,27(2):24-27,43.
作者姓名:廖玉忠  张自林
作者单位:中国人民解放军94994部队,江苏,南京,211219
摘    要:以双基地雷达"四抗"能力分析为基础,提出了双/多基地雷达布站优化的原则并对这些原则进行了量化,建立了双/多基地雷达布站优化的数学模型.随后,对量子粒子群算法进行了改进,提出了自适应量子粒子群算法,并将其用于双/多基地雷达布站优化数学模型的求解,解决了双/多基地雷达雷达站的部署问题.最后,通过MATLAB对优化后的雷达站...

关 键 词:双多基地雷达  布站优化  量子粒子群算法

Radar embattling optimization based on improved quantum particle swarm optimization
Liao Yuzhong,Zhang Zilin.Radar embattling optimization based on improved quantum particle swarm optimization[J].Aerospace Electronic Warfare,2011,27(2):24-27,43.
Authors:Liao Yuzhong  Zhang Zilin
Institution:Liao Yuzhong,Zhang Zilin(Unit 94994 of PLA,Nanjing 211219,Jiangsu,China)
Abstract:Based on the analysis of four anti-capability,the principles of bistatic/multi-station radar embattling optimization are presented and quantitated.The model of bistatic/multi-station radar embattling optimization is established.Then an improved quantum-behaved particle optimization is put forward to solve the model.The solution settles the distribution of bistatic/multi-station radar.Finally the embattling optimization of bistatic/multi-station radar is simulated and the results validate the feasibility of ...
Keywords:bistatic/multi-station radar  embattling optimization  quantum-behaved particle swarm optimization  
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