鲁棒成形极化敏感阵列波束的方法及极化估计

基于极化敏感阵列,提出了一种鲁棒成形阵列波束的方法。该方法首先将阵列的数据模型进行了重新描述,从而获得了信号波达角(DOA)和极化解耦的模型。借助于该模型并对信号的两个极化方向分别进行鲁棒约束,设计出了一个新的鲁棒空域波束空间成形矩阵,利用该矩阵可以获得信号两个极化分量的鲁棒估计。基于特征值分解的方法,最后给出了估计信号极化参数的方法。分析和数值仿真实验均表明:提出的方法,在对DOA估计误差以及阵列位置误差等造成的阵列失配具有较强鲁棒性的同时,也能有效抑制干扰和噪声,进而提升了极化参数估计的性能。

A robust beamformer with a polarization sensitive array and polarization estimation

Based on the polarization sensitive array,a robust beamformer for polarization estimation is proposed.By reformulating the model for polarization sensitive array data,a model decoupiing the direction of arrival (DOA) parameters from the polarization ones is given.Based on our model and the robust constraints to the two polarization directions of a signal,a spatial beamspace matrix is designed to robustly obtain an estimation of the signal's two polarization components.The polarization parameter estimations of the signal are then given by the eigenvalue decomposition.Both analyses and simulation results show that our beamformer is robust to the array mismatch caused by the DOA estimate and array position errors.It is also indicated that our method can improve the performance of the polarization estimation effectively by suppressing the interference and noise are suppressed.