Off-grid sparse FD-MIMO image reconstruction by using improved FOCUSS technique

Abstract

A new sparse frequency diverse multiple-input multiple-output (FD-MIMO) radar image reconstruction technique is proposed for off-grid targets in the Compressed sensing framework. We broaden the scope of sparse total least-squares with structured form (SS-TLS) capitalizing on prior information available about the perturbed matrix, and FoCal Underdetermined System Solver (FOCUSS) has low-computation complexity in sparse recovery. Based on SS-TLS and FOCUSS method, the present paper develops a more robust and accurate algorithm. The simulations illustrate the effectiveness of the proposed method.