Abstract：Compared with the traditional airborne phased-array radar,the ability for clutter suppression and moving target detection of space-time adaptive processing in the airborne multiple-input multiple-output radar (MIMO-STAP) can be greatly improved.However,the huge computational cost and training sample requirement limit its practical application.In order to solve this problem,we proposed the post-Doppler adaptive processing method based on the multi-stage spatial decomposition in airborne MIMO radar.This method decomposed the post-Doppler adaptive weight vector into the Kronecker product of several short weight vectors.Then the cyclic iteration was applied to solve the desired weight vector.The simulation experiments showed that this method had the advantage of fast convergence.Its performance is evidently superior to the traditional post-Doppler processing method especially in large-scale antenna array radar.
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2017, Vol. 45 
