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中文摘要：
该文针对机载MIMO雷达杂波抑制问题,提出一种低复杂度的空时自适应处理（STAP）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2维波束形成权向量表示成发射权和接收权的Kronecker积,并建立关于这两个权值的二元二次代价函数从而实现空域二次降维;最后提出最小化代价函数的双迭代算法,交替优化两个权值。仿真结果表明该算法收敛速度快,运算量小,尤其在小样本条件下其杂波抑制性能显著优于mDT方法。
英文摘要：
A computationally efficient Space-Time Adaptive Processing（STAP） method for clutter suppression in airborne MIMO radar is proposed.Firstly,the Doppler filtering is performed to reduce the data dimension in temporal domain.Secondly,the weight vector of the two-dimensional transmit-receive beamformer is expressed as the Kronecker product of two short weight vectors for which a bi-quadratic cost function is constructed to achieve dimension reduction in spatial domain.Finally,a bi-iterative algorithm for minimizing the bi-quadratic cost function is utilized to optimize iteratively the two weights.Simulation results indicate that the proposed method has fast convergence rate and particularly for short data records,it provides substantially better clutter suppression performance and can be carried out at a smaller computational cost than the mDT method.
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