• Electronics Optics & Control
  • Vol. 26, Issue 3, 24 (2019)
ZHOU Shu-hua1, TAN Zhi-hao1, JIN Wei2, and JIA Wei-min2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.3969/j.issn.1671-637x.2019.03.006 Cite this Article
    ZHOU Shu-hua, TAN Zhi-hao, JIN Wei, JIA Wei-min. Iterative Robust Capon Beamforming Algorithm for MIMO Radar[J]. Electronics Optics & Control, 2019, 26(3): 24 Copy Citation Text show less

    Abstract

    The output SINR of the existing MIMO radar beamforming algorithms may decrease greatly due to the large mismatch of the joint steering vector.To solve this problem, an algorithm using iterative robust Capon beamforming for MIMO radar is proposed.Considering the transceiver array structure of MIMO radar, the mismatch error model is analyzed in theory at first.Based on this, we point out the limitations of the big-uncertainty-set algorithm.Then, an algorithm using small uncertainty sets to constraint large mismatch is proposed.The proposed algorithm iterates over the estimated joint steering vector until meeting the designed termination conditions.Compared with the previous algorithms, the proposed method can acquire a more accurate estimation of the joint steering vector.Simulation experiments show that the proposed algorithm presents outstanding performance in improving the output SINR and has strong robustness in the case of large mismatch.
    ZHOU Shu-hua, TAN Zhi-hao, JIN Wei, JIA Wei-min. Iterative Robust Capon Beamforming Algorithm for MIMO Radar[J]. Electronics Optics & Control, 2019, 26(3): 24
    Download Citation