Sparse Reduced-dimension Clutter Suppression Method Based on Multi-domain Joint Processing

To improve the heterogeneous clutter suppression performance of airborne radar, a fast sparse reduced-dimension method based on multi-domain joint processing is proposed in this paper. Firstly, spatial diversity is adopted among transmitting sub-apertures to realize reduced dimension of spatial domain. Secondly, multiple equivalent samples are obtained by matching reconstruction. Thirdly, the dimension of these samples is further reduced based on energy transform domain. Finally, the clutter is suppressed by joint sparse recovery, and simulations demonstrate the effectiveness of proposal.