基于特征空间自适应波束形成的近程杂波抑制算法

Short-range Clutter Suppression Algorithm Based on Eigenspace Adaptive Beamforming

针对非正侧视阵在俯仰向抑制近程杂波时算法效果不佳的问题,文中提出了一种基于特征空间自适应波束形成的近程杂波抑制算法。该算法对俯仰空域协方差矩阵进行特征分解,分离出近程杂波的支撑特征向量,并将其作为约束进行自适应波束形成。该算法对阵元误差具有鲁棒性,并克服了一般自适应滤波难以实现方向图保形的缺点。仿真结果证明了该算法的有效性。

Currently developed methods do not perform well for short-range clutter suppression of non-side-looking arrays.This paper presents an algorithm based on eigenspace adaptive beamforming technique.This algorithm performs eigen-decomposition of the spatial covariance matrix and extracts the short-range clutter support eigenvectors.The eigenvectors are then used as constraints for adaptive beamforming.This algorithm is robust to element errors.Furthermore,it overcomes the pattern reshaping problems of conventional adaptive filtering algorithms.Computer simulation results prove its validity.