基于非圆特征恢复的极化敏感辅助阵列波束形成

为了降低极化敏感阵列（PSA）的应用成本，优化极化信息的利用效率，提高导向矢量失配条件下的滤波性能，提出了极化敏感辅助阵列（APSA）模型和基于二相编码信号非圆特征恢复的波束形成算法。在单极化线阵的基础上对部分阵元进行双极化改造，构成APSA；根据接收信号矢量的协方差阵和共轭协方差阵，按照非圆率最大准则，对构造的新协方差阵进行特征分解以确定权矢量，进而完成数字波束形成。详细分析了阵列模型的性能，并讨论了最小方差无失真响应（MVDR）算法和特征子空间投影（EP）算法。仿真结果表明，二相编码的非圆特征恢复算法不受导向矢量误差的影响，在阵列模型的基础上有主瓣干扰对抗能力，鲁棒性强。

Auxiliary polarization sensitive array beamforming based on non-circularity restoral

In order to reduce the application cost of polarization sensitive array (PSA), optimize the utilization efficiency of polarization information and improve the filtering performance under the condition of steering vector mismatch, an auxiliary polarization sensitive array (APSA) model and a beamforming algorithm based on binary phase coded signal non-circularity restoral are proposed in this paper. In APSA, partial elements in single polarization linear array are turned into dual polarized elements; assuming that steering vector is unknown, the received signal covariance matrix and the conjugate covariance matrix are calculated, and a new covariance matrix is eigen-decomposed to determine the weight vector filtering in accordance with the non-circularity maximum criterion. This paper analyzes the performance of the array model, discusses the minimum variance distortionless response (MVDR) algorithm and the eigen-subspace projection (EP) algorithm, and makes a comparative analysis. The simulation results show that the non-circularity restoral algorithm of the binary phase coded signal will not be affected by the steering vector error, and it has excellent anti-jamming performance and strong robustness under the APSA model.