基于杂波脊先验信息的非均匀杂波抑制方法

机载雷达回波数据非均匀会在很大程度上削弱传统空时自适应处理算法的杂波抑制性能。为此，提出一种基于杂波脊先验信息的非均匀杂波抑制方法，利用机载雷达杂波信号在角度多普勒平面的谱分布信息构造导向矢量基，并在考虑阵元误差影响情况下，对待检测单元数据进行迭代的最小二乘拟合，最后对拟合后的剩余数据进行恒虚警检测处理。该方法充分利用了雷达系统参数及杂波谱分布等先验信息，并且不需要训练样本，可以较好地抑制非均匀杂波，从而改善机载雷达的检测性能。仿真实验验证了该方法的有效性。

Heterogeneous clutter suppression method based on the knowledge of clutter ridge

The heterogeneity of echo data in airborne radar can severely degrades the clutter suppression performance of conventional space time adaptive processing (STAP)algorithms. To address this issue, a heterogeneous clutter suppression method based on the prior knowledge of clutter ridges is presented. A set of steering vector basis is first constructed by utilizing the spectral characteristics of the ground clutter seen by airborne radar, and then used to fit the test data in an iterative least mean square manner with the presence of the array error under consideration. Subsequently, the constant false alarm rate detection is conducted on the residual data. This method makes full use of the prior knowledge of radar system parameters and clutter spectral structure and does not need any training samples, which can effectively suppress the heterogeneous clutter and significantly improve the detection performance of the airborne radar. Simulation results validate the effectiveness of the proposed method.