极化自适应递推滤波算法

Adaptive Recursive-Filtering in Polarization Domain

针对未知和时变的杂波环境 ,探讨了极化域滤波问题 ,提出了极化自适应滤波的原理 :利用历史杂波数据估计杂波的极化信息 ,据此对天线极化进行调整 ,达到“最优” ,然后对当前接收电场进行滤波 .根据这一原理进一步提出了递推算法 .仿真实验结果也证明了该方法的有效性 .该滤波器稳态性能逼近理论最优 ,算法“学习”

Filtering in polarization domain has been investigated with respect to the unknown and time varying clutter or interference environment.An adaptive recursive filtering algorithm is proposed.At first,the polarization coherence matrix is estimated by the independent secondary data.Then the polarization of antenna is optimized according to the polarization information.At last,the minimum complex volume is obtained.The recursive scheme makes it go fluently.The simulation experiments demonstrate its validity.The performance curve of stability approaches the optimum theoretically.The study curve reflects its transition property.