PROJECT TITLE :

Super-resolution radar imaging using fast continuous compressed sensing

ABSTRACT:

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


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