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基于遗传算法极化雷达反干扰接收极化选择
引用本文:吴文洲,潘健,刘博,刘传武.基于遗传算法极化雷达反干扰接收极化选择[J].现代雷达,2008,30(4):67-71.
作者姓名:吴文洲  潘健  刘博  刘传武
作者单位:1. 空军工程大学导弹学院,陕西,三原,713800
2. 空军装备研究院,北京,100085
3. 空军工程大学工程学院,西安,710038
摘    要:在有效采用极化状态基础上,采用极化对消技术使接收天线与之极化正交,可以使雷达工作在相对于干扰失配状态,从而达到反干扰目的。基于遗传算法,给出了在雷达工作频带内存在多个不同频、非相干干扰源时,接收天线最佳极化选择方法。针对典型算例,与穷举法、拉格朗日乘子求解比较,在达到相同的求解精度前提下,遗传算法用时较少,操作简单,大大节省了计算资源。

关 键 词:遗传算法  庞加莱球  极化比  极化匹配因子  增益
修稿时间:2007年12月12

Receiving Antenna Polarization Choice of Polarization Radar System Based on Genetic Algorithm
WU Wen-zhou,PAN Jian,LIU Bo,LIU Chuan-wu.Receiving Antenna Polarization Choice of Polarization Radar System Based on Genetic Algorithm[J].Modern Radar,2008,30(4):67-71.
Authors:WU Wen-zhou  PAN Jian  LIU Bo  LIU Chuan-wu
Abstract:With polarization state of the disturbing electromagnetic wave recognized and polarization pattern of the disturbing electromagnetic wave recognized,after adjusting the receiving antenna working at cross polarization pattern,the radar system can work at polarization mismatching state in order to cancel the disturbance distinctly.Based on Genetic Algorithm,the optimized receiving antenna polarization choice of polarization radar system is given out in this paper when there is multi-frequency,incoherent disturbance in the radar operating band.Compared with enumeration method and lagrange multipliers method,when applied on one same question,Genetic Algorithm(GA) is much easier executed,and it can earn mach more computer time.
Keywords:Genetic Algorithm  poincare sphere  polarization ratio  polarization match factor  gain
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