Analysis on the affection of noise in radar super resolution though deconvolution

Radar angular resolution is constrained by its beam width. Deconvolution is an efficient algorithm for angular super resolution. It has been widely utilized because of 1) easy and simple principle, 2) no requiring of phrase information, 3) its flexibility. This paper introduces two deconvolution algorithms : Wiener filtering deconvolution and fast constrained iterative deconvolution (FCID). The performances of two algorithms with different SNR are compared and evaluated. This paper provides a reference standard to engineering applications in the different noise environment.