雷达科学与技术2011，Vol.9Issue(4)：325-329,334,6.
基于微分进化的极化WSF信号参数估计算法
Polarization WSF Algorithm Based on Differential Evolution
摘要
Abstract
Compared with traditional antenna array, the polarization sensitive array can receive spatial information and more complete electromagnetic information. It has higher receive gain due to less sensitivity to the variation of signal polarization. The polarization weighted subspace fitting (WSF) algorithm is obviously better in accuracy and resolution than the general subspace algorithm and can process coherent signals. The algorithm has good robustness. But the number of parameters needed to be estimated is twice more than traditional WSF, so computation problem appears more prominent. To deal with this problem, the genetic algorithm is used to polarization WSF. But poor performance is expressed, which is different from traditional WSF. Differential evolution algorithm, features as simplicity, fast convergence, high accuracy, search performance, and stability, is suitable for solving multi-dimensional functions of maximum solution, this paper applies the algorithm to the polarization WSF and compares it with the WSF based on genetic algorithm. Experimental comparison simulation shows the efficiency of the method.关键词
极化敏感阵列/极化域-空域联合谱/微分进化/极化WSFKey words
polarization sensitive array/ polarization domain-spatical domain joint spectrum/ differential evolution/ polarization WSF分类
信息技术与安全科学引用本文复制引用
刘扬,吴瑛..基于微分进化的极化WSF信号参数估计算法[J].雷达科学与技术,2011,9(4):325-329,334,6.
