An imaging method for MIMO radar with sparse array based on Compressed Sensing

Author

Gu, Fufei ; Chi, Long ; Zhang, Qun ; Zhu, Feng ; Liang, Ying

Author_Institution

Inst. of Telecommun. Eng., AFEU, Xi´´an, China

fYear

2011

fDate

14-16 Sept. 2011

Firstpage

1

Lastpage

4

Abstract

The number of antenna elements in MIMO (Multiple-Input Multiple-Output) radar is too many when imaging for moving targets with single snapshot. To a i m at solving the problem, an imaging method for MIMO radar with sparse antenna array is proposed. Firstly the configuration of sparse antenna array is analyzed. Then, combining Compressed Sensing theory, a novel imaging method for MIMO radar with sparse array is put forward. Single snapshot imaging for moving targets is implemented by this method, which not only can avoid the difficulty of motion compensation aroused by the targets´ maneuver, but also can reduce the number of antenna elements. Finally, the effectiveness of this method is validated by the simulation results.

Keywords

MIMO radar; antenna arrays; radar imaging; signal reconstruction; MIMO radar; antenna elements; compressed sensing theory; imaging method; motion compensation; single snapshot imaging; sparse antenna array; sparse array; Antenna arrays; Arrays; Imaging; MIMO radar; PSNR; Radar antennas; Radar imaging; Compressed Sensing; MIMO radar; Single snapshot imaging; Sparse array;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4577-0893-0

Type

conf

DOI

10.1109/ICSPCC.2011.6061784

Filename

6061784