Gu Fu-Fei, Chi Long, Zhang Qun, Peng Fa-Xiang, Zhu Feng. An Imaging Method for MIMO Radar with Sparse Array Based on Compressed Sensing[J]. Journal of Electronics & Information Technology, 2011, 33(10): 2452-2457. doi: 10.3724/SP.J.1146.2011.00287
Citation:
Gu Fu-Fei, Chi Long, Zhang Qun, Peng Fa-Xiang, Zhu Feng. An Imaging Method for MIMO Radar with Sparse Array Based on Compressed Sensing[J]. Journal of Electronics & Information Technology, 2011, 33(10): 2452-2457. doi: 10.3724/SP.J.1146.2011.00287
Gu Fu-Fei, Chi Long, Zhang Qun, Peng Fa-Xiang, Zhu Feng. An Imaging Method for MIMO Radar with Sparse Array Based on Compressed Sensing[J]. Journal of Electronics & Information Technology, 2011, 33(10): 2452-2457. doi: 10.3724/SP.J.1146.2011.00287
Citation:
Gu Fu-Fei, Chi Long, Zhang Qun, Peng Fa-Xiang, Zhu Feng. An Imaging Method for MIMO Radar with Sparse Array Based on Compressed Sensing[J]. Journal of Electronics & Information Technology, 2011, 33(10): 2452-2457. doi: 10.3724/SP.J.1146.2011.00287
The number of antenna elements of MIMO radar is too many when imaging for moving target with single snapshot. To solve the problem, an imaging method for MIMO radar with sparse array is proposed. Firstly the configuration of sparse antenna array is analyzed. Then, combining Compressed Sensing (CS) theory, a novel imaging algorithm for MIMO radar with sparse array is put forward. Single snapshot imaging for moving target is implemented by this algorithm, which not only can avoid the difficulty of motion compensation aroused by the targets maneuver, but also can reduce the number of antenna, it is the advantage to engineering practice. Finally, the effectiveness of this algorithm is validated by the simulative results.