Title :
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
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;
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-0893-0
DOI :
10.1109/ICSPCC.2011.6061784