一种稳健的机载面阵雷达非均匀杂波抑制方法

在非均匀杂波和密集目标环境下，由于没有足够的独立同分布(IID)训练样本，传统空时自适应处理(STAP)方法的杂波抑制性能严重下降。针对以上问题，该文提出一种对阵元误差稳健的机载面阵雷达非均匀杂波抑制方法。该方法首先根据雷达系统参数先验知识构造杂波表示基矩阵。然后在考虑阵元误差的情况下，基于最小二乘准则迭代地估计杂波表示系数和阵元误差，最后利用估计得到的最优杂波表示系数和阵元误差直接在阵元脉冲域进行杂波对消。该方法无须估计待检测单元统计特性；没有孔径损失；不需要训练样本；即使在距离模糊情况下也能有效地抑制密集目标环境下机载面阵雷达回波数据中的非均匀杂波。仿真结果验证了该文方法的有效性。

A Robust Heterogeneous Clutter Suppression Method for Airborne Planar Array Radar

Due to lack of enough Independent Identically Distributed (IID) training samples, it seriously degrades the clutter suppression performance of the traditional Space-Time Adaptive Processing (STAP) algorithms in heterogeneous clutter and target rich environment. To solve the problem, a heterogeneous clutter suppression method for the airborne plane array radar is proposed, which is robust to the array error. Firstly, the clutter representation basis matrix is constructed by the radar system parameters priori knowledge. Next, with the consideration of array error, it estimates iteratively the clutter representation coefficient and array error by the least square criterion. Finally, the clutter cancellation is conducted by the obtained optimal clutter representation coefficient and array error in element-pulse domain. The proposed method does not need to estimate the statistical properties of cell under test and has no aperture loss. In addition, it does not need any training sample and can suppress effectively the heterogeneous clutter of airborne planar array radar echo data in rich target environment even if range ambiguity exists. Simulation results verify the validity of the proposed method.