Recursive algorithm of adaptive weight extraction of space-time signal processing for airborne radars

The non-stationary characteristic of clutter echoes is analyzed in the clutter circumstance of airborne early warning (AEW) radar. A newly 2-D (two dimension) space-time adaptive processing is presented, which is segmented in the range. The segmentation method is determined by analyzing the range of neighboring clutter subspaces. A recursive algorithm of adaptive weight is presented with considering the real-time implementation and the performance of the processor simultaneously. Theoretical analysis and computer simulation results show that the proposed approach is effective.