Compact Sensing Matrix Pursuit Algorithm for Radars with High Resolution

LIU Jing; SHENG Mingxing; SONG Dawei; SHANG She; HAN Chongzhao

doi:10.11999/JEIT151135

Volume 38 Issue 8

Sep. 2016

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LIU Jing, SHENG Mingxing, SONG Dawei, SHANG She, HAN Chongzhao. Compact Sensing Matrix Pursuit Algorithm for Radars with High Resolution[J]. Journal of Electronics & Information Technology, 2016, 38(8): 1950-1955. doi: 10.11999/JEIT151135

Citation:

LIU Jing, SHENG Mingxing, SONG Dawei, SHANG She, HAN Chongzhao. Compact Sensing Matrix Pursuit Algorithm for Radars with High Resolution[J]. Journal of Electronics & Information Technology, 2016, 38(8): 1950-1955. doi: 10.11999/JEIT151135

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Compact Sensing Matrix Pursuit Algorithm for Radars with High Resolution

doi: 10.11999/JEIT151135

1.
(School of Electronics and Information Engineering, Xi&rsquo
2.
(National Key Laboratory of Science and Technology on Space Microwave, Xi&rsquo

Funds:

The Innovation Foundation of CAST (J20141110), The National Natural Science Foundation of China (61573276), The National 973 Program of China (2013CB329405)

Received Date: 2015-10-10
Rev Recd Date: 2016-04-22
Publish Date: 2016-08-19

Abstract

Abstract

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.
- Compressive sensing based radar system,
- High resolution,
- High coherence,
- Compact Sensing Matrix Pursuit (CSMP) algorithm

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References(20)

References

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