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| An Imaging Method for MIMO Radar with Sparse Array Based on Compressed Sensing |
| Gu Fu-fei Chi Long Zhang Qun Peng Fa-xiang Zhu Feng |
| Telecommunication Engineering Institute, Air Force Engineering University, Xi’an 710077, China |
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Abstract 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 target’s 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.
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Received: 27 March 2011
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Corresponding Authors:
Gu Fu-fei
E-mail: gffpan@126.com
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2011, Vol. 33 
