基于传播算子的极化参数估计方法

Polarization parameters estimation based on propagator method

针对非圆极化MUSIC算法计算量较大的问题,将传播算子算法应用于极化敏感阵列估计信号方向和极化参数,由于不需要特征值分解,计算量明显减小,并且算法性能与极化MUSIC算法性能相近。利用信号的非圆特性进行阵列扩展,提出了一种非圆极化传播算子算法,提高了新算法的分辨力、抗干扰等性能,并且当自相关矩阵维数增加时新增加的计算量不明显。仿真实验结果表明了该算法具有很好性能。

Aimed at the question of non-circular polarization MUSIC algorithm＇ s computation, the propagator method is applied toestimate the polarization sensitive array signals＇ direction and polarization parameters, because do not need eigenvalue decomposition, computation evidently decreased and algorithm performance is similar to polarization MUSIC algorithm performance. By using the signal of non-circular characteristics of array expansion, a kind of non-circular polarization propagator method algorithm is put forward, the new algorithm resolution, anti-jamming and other properties are improved, and when autocorrelation matrix dimension increase the amount of calculation increase unobtaintly. The simulation results verify the performance of the algorithm.