Super‐resolution radar imaging using fast continuous compressed sensing

Abstract

A continuous compressed sensing method for 2D radar imaging is adopted. Atomic norm minimisation is used for sparse signal recovery and the property of the dual optimal solution is utilised to generate a super-resolution radar image. A feasible first-order algorithm based on the alternating direction method of multipliers is presented for problem solving where the primal and dual optimal solution can be obtained simultaneously. A fast implementation is also developed by exploiting the low rank structure of the subproblem. Experimental results on real data validate the effectiveness of the proposed algorithm.