Compact Sensing Matrix Pursuit Algorithm for Radars with High Resolution
LIU Jing① SHENG Mingxing① SONG Dawei② SHANG She② HAN Chongzhao①
①(School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China) ②(National Key Laboratory of Science and Technology on Space Microwave, Xi’an 710000, China)
In this paper, a novel algorithm named Compact Sensing Matrix Pursuit (CSMP) is proposed to deal with the high coherence problem encountered in the compressed sensing based radar system with high resolution. The CSMP algorithm is applied to the two dimensional Direction Of Arrival (DOA) estimation of cross-array. The simulation results show that the resolution can be increased largely compared with the MUltiple SIgnal Classification (MUSIC) algorithm, Subspace Pursuit (SP), Basis Pursuit (BP), and the Sparse Bayesian Learning (SBL) algorithms.
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