一种处理非均匀分布的杂波样本的新算法

New Approach for Nonhomogeneous Clutter Environment

本文从理论上分析了杂波样本沿距离单元均匀分布时杂波协方差矩阵为Hermite矩阵、块Toeplitz矩阵和To-eplitz块矩阵的性质。根据此性质,提出了一种空时自适应非均匀处理新方法——均匀逼近法来处理机载相控阵雷达采集到的沿距离单元非均匀分布的杂波样本。该方法能有效地消除样本非均匀带来的影响,具有采样要求低、稳健性强、工程实现方便等特点.数值仿真结果验证了该方法的有效性。

A theoretical analysis of the Hermitian block-Toeplitz-Toeplitz-block nature of the clutter covariance matrix in homogeneous clutter environment is presented. The nonhomogeneous nature of the clutter environment often results in severely degraded detection performance. The design problems of adaptive rejection filters for extraction of radar signals against nonhomogeneous clutter background are considered. A new space-time adaptive processing （STAP） approach is proposed, which is suitable for the nonhomogeneous clutter environment. The approach features low sample support requirement, strong robustness to error and convenient to implement. Performance analysis was carried out using simulated data. Simulation results prove the effectiveness of the proposed approach.