Abstract: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.