摘要
针对传统自适应极化滤波算法存在收敛速度慢、迭代步长因子选取困难等问题,采用极化聚类中心估计理论设计了一种快速自适应极化滤波器,实现了对极化雷达回波中的干扰信号逐脉冲地自适应精确对消。滤波器通过距离单元选通获取干扰信号样本,对样本极化聚类中心的直接计算能够快速估计干扰信号在当前脉冲内极化状态,依据干扰输出功率最小原则最终实现快速滤波过程,相比于传统极化滤波算法有更快的收敛速度和更稳定的干扰抑制性能。仿真对比实验结果验证了该方法的快速有效性。
According to the traditional adaptive polarization filter algorithms had problems of low convergence speed and the iterative factor being hard to choose, a fast adaptive polarization filter was designed by utilizing the estimation theory of polarizing cluster center. The interference signal in polarimetric radar reception could be cancelled accurately and adaptively pulse-by-pulse. The range-gated technique in-pulse was adopted to obtain the interference signal samples. The current polarization state of the interference signal was estimated rapidly by computing the polarizing cluster center directly. Based on the principal of minimum interference output power, the fast filter process could be carried out. Compared to the traditional polarization filter, it is faster in convergence and more stable to the performance of interference suppression. Rapidity and efficiency of the filter algorithm are validated by simulation results.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2015年第4期87-92,共6页
Journal of National University of Defense Technology
基金
国家自然科学基金青年科学基金资助项目(41301490)
关键词
极化自适应滤波
极化聚类中心
脉内滤波
polarization adaptive fiher
polarizing cluster center
filter in-pulse
