提高传感器阵列自适应处理鲁棒性的空时广义加载法

Space-time generalized loading approach for robust adaptive array sensor processing

由于实际杂波环境是非均匀的,工程上空时自适应处理(STAP)缺少足够的均匀杂波样本支持,其性能严重降低。本文提出了空时广义加载法,用Herm it型的Toep litz-B lock-Toep litz矩阵对样本协方差矩阵进行加载,所以它是对角加载法的推广。该算法具有对角加载的鲁棒性和简单性优点,同时又保持了必要的空时静态性能。空时广义加载法能有效降低样本不足和非均匀带来的影响,同时实现了更好的杂波抑制和低旁瓣,具有采样要求低、鲁棒性强、工程实现方便等特点。分别用仿真数据和实测数据验证了该方法的有效性。

The performance of the applied STAP techniques is limited by severe nonhomogeneous clutter scenario and deficient sample support. Space-time generalized loading approach is proposed, with which the estimated covariance matrix is loaded by a scaled version of Hermitian Toeplitz-Block-Toeplitz matrix, so it is a generalization of diagonal loading. The approach can extract radar signals against clutter background with nonhomogeneous and deficient sample support. It also can suppress clutter while maintain low sidelobe more efficiently. It has low sample support requirement, strong robustness and is convenient to implement. Performance analyses were carried out using simulated data and measured data. The results prove the effectiveness of the proposed approach.