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| Knowledge-aided MIMO Radar Waveform Design Method |
| GUAN Jian LI Xiuyou HUANG Yong XUE Yonghua |
| (Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China) |
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Abstract In order to solve the problem of performance degradation when radar system is influenced by clutter from mainlobe and sidelobe, MIMO radar waveform design algorithm based on knowledge of range-spread target and clutter is investigated. Firstly, an optimization cost function is established, which includes mainlobe gain, sidelobe clutter suppression capability and Signal to Clutter plus Noise Ratio (SCNR) improvement. Secondly, to tackle the optimization problem, a relaxation is made to decouple spatial and temporal domain of the waveform matrix, beamforming and waveform design can be solved independently. Thirdly, L-BFGS algorithm is used to design the unimodular waveform matrix, beampattern with lower sidelobe and deep null is got. Based on maximization of SCNR, transmitted waveform and receiving filter are designed by iterative algorithm. Finally, the effectiveness of the proposed algorithm is verified by electromagnetic simulation of range-spread target.
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Received: 04 January 2016
Published: 19 July 2016
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| Fund: The National Natural Science Foundation of China (61471382, 61401495, 61201445, 61179017, 61501487), Natural Science Foundation of Shandong Province (2015ZRA 06052), Special Funds of Taishan Scholars Construction Engineering |
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Corresponding Authors:
LI Xiuyou
E-mail: lixiuyou2012@163.com
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