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Volume 41 Issue 7
Jul.  2019
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ZHANG Tianqi, QUAN Shengrong, QIANG Xingzi, JIANG Xiaolei. Time-frequency Analysis Method Based on Multi-scale Chirplet Sparse Decomposition and Wigner-Ville Transform[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1333-1339. doi: 10.11999/JEIT160750
Citation: Baoqing XU, Yongbo ZHAO, Xiaojiao PANG. Joint Real-valued Beamspace-based Method for Angle Estimation in Bistatic MIMO Radar[J]. Journal of Electronics & Information Technology, 2019, 41(7): 1721-1727. doi: 10.11999/JEIT180766

Joint Real-valued Beamspace-based Method for Angle Estimation in Bistatic MIMO Radar

doi: 10.11999/JEIT180766
Funds:  The Fundamental Research Funds for the Central Universities (K5051202047)
  • Received Date: 2018-08-03
  • Rev Recd Date: 2019-01-17
  • Available Online: 2019-02-14
  • Publish Date: 2019-07-01
  • A joint real-valued beamspace-based method for angle estimation in bistatic Multiple-Input Multiple-Output (MIMO) radar is proposed. Instead of using the traditional Discrete Fourier Transform (DFT) beamspace filter, the proposed beamspace filter is designed through convex optimization, which can flexibly control the bandwidth and limit the sidelobe level. Based on this property, the mainlobe-to-sidelobe ratio of the proposed beamspace filter can be greatly improved, which results in the improved estimation performance. More importantly, the structure of the proposed beamspace matrix can be properly designed, which is indispensable in constructing the real-valued signal model. Finally, the mapping relationship to compensate the interpolation error is established. Simulation results verify the effectiveness of the proposed method.
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