机载MIMO雷达两级降维空时自适应处理方法

针对机载多输入多输出( Multiple-input multiple-output,MIMO)雷达杂波抑制问题，提 出一种两级降维空时自适应处理 方法。首先利用多普勒滤波对杂波信号进行时域降维处理；然后将空域发射 接收二维波束 形成权矢量重构为发射权矢量和接收权矢量Kronecker积形式，并将高维权矢量转化为两个 低维权矢量进行分别求解，最后进行权矢量合成。该算法能够有效降低训练样本数需求与运 算复杂度，在小样本条件下具有良好的杂波抑制性能，因此更具有实际应用价值。仿真结果 验证了算法的有效性。

Two-Stage Reduced-Dimension STAP Method for Airborne MIMO Radar

A two-stage reduced-dimension space-time adaptive processing (STAP) method fo r clutter suppression in airborne multiple-input multiple-output (MIMO) radar is proposed. The Doppler filtering method is firstly performed to reduce the dat a dimension in temporal domain. Then the weight vector of the two-dimensional t r ansmit-receive beamformer is decomposed into the Kronecker product of the trans mit and the receive weight vectors. The two low-dimensional weight vectors are res olved respectively to synthesize the final weight vector. The proposed method ca n significantly decrease the training sample requirement and the computational l oad. Under the small sample number condition the method can provide a good clutt er suppression performance, so it has greater value in practical applications. S imulation results verify the effectiveness of the proposed method.