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Partially Correlation Waveforms Design and Processing for Co-located MIMO Radar |
Tang Yong-hao Ma Xiao-feng Sheng Wei-xing Han Yu-bing |
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China |
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Abstract This paper focuses on the methods to design the transmit beam pattern and waveforms separately, and utilize the waveform diversity to suppress adaptively the interferences and clutters for co-located MIMO radar. Firstly, an improved fast beamforming algorithm is proposed to optimize the above two designs simultaneously. In order to guarantee the full rank of the correlation matrix of the transmitted waveforms, the eigenvalue loading method is applied. Then, an array signal processing framework for MIMO radar which employs the partially waveforms is adopted to recover the diversity of the waveforms by using the matching filter banks. Simulation results show that this kind of MIMO radar will take full advantages of the extra degrees of freedom brought by waveforms diversity to suppress the clutter and interference efficiently.
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Received: 12 November 2012
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Corresponding Authors:
Ma Xiao-feng
E-mail: maxiaofeng@njust.edu.cn
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