机载MIMO雷达两级降维空时自适应处理方法

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

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。

A two-stage reduced-dimension space-time adaptive processing （STAP） method for clutter suppression in airborne multiple-input multiple-output （MIMO） radar is proposed.The Doppler filtering method is firstly performed to reduce the data dimension in temporal domain.Then the weight vector of the two-dimensional transmit-receive beamformer is decomposed into the Kronecker product of the transmit and the receive weight vectors.The two low-dimensional weight vectors are resolved respectively to synthesize the final weight vector.The proposed method can significantly decrease the training sample requirement and the computational load.Under the small sample number condition the method can provide a good clutter suppression performance,so it has greater value in practical applications.Simulation results verify the effectiveness of the proposed method.