空时被动合成孔径阵列处理算法研究

本文介绍了两种被动合成孔径阵列处理算法。第一种算法是通过空时数据的互协方差矩阵估计,来精确估计相位校正因子,以提高孔径合成性能;另一种是在前一种算法基础之上,利用对信号子空间的低秩近似来提高低信噪比环境下相位校正因子的估计性能,从而提高被动合成孔径性能的算法。通过对仿真数据和实验数据的分析和比较,说明这两种新算法在较低信噪比下可以得到比传统的ETAM和后来的时域ETAM算法更好的相位估计与方位分辨性能和信号增益。

Spatial-temporal Processing Methods for Passive Synthetic Aperture Array

In this paper,two novel processing methods for passive synthetic aperture array are described.In the first proposed method,one more accurate synthetic phase is estimated by spatial-temporal covariance data matrix.The second one is based the first one, and a low-rank approximate algorithm in the signal subspace is applied to the synthetic phase estimation for improving the perform- ance of passive synthetic aperture.Simulation and real results showed the two proposed methods have higher accuracy for phase estima- tion and improved bearing resolution and signal gain than