Sparse maximuma posterior algorithm for high angular resolution of scanning radar

This paper presents a sparse deconvolution algorithm based on the Maximum a Posterior (MAP) criterion to improve the azimuth angular resolution of scanning radar. For high resolution of few targets in large imaging scene, the sparse property was considered as the prior information to combine with the classic Richardson-Lucy (R-L) iterative algorithm to obtain sparse solution. Besides, the sparsity constraints also help to suppress the amplification of false target and noise of R-L algorithm. Simulations are given to verify the effectiveness of our algorithm.