• Journal of Terahertz Science and Electronic Information Technology
  • Vol. 18, Issue 4, 606 (2020)
LI Xingxing1、*, XIONG Zhimin2, WANG Dangwei2, and MA Xiaoyan2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.11805/tkyda2017368 Cite this Article
    LI Xingxing, XIONG Zhimin, WANG Dangwei, MA Xiaoyan. An improved FDA–MIMO radar beamforming algorithm[J]. Journal of Terahertz Science and Electronic Information Technology , 2020, 18(4): 606 Copy Citation Text show less

    Abstract

    Frequency Diverse Array Multiple-Input and Multiple-Output(FDA-MIMO) has drawn a remarkable amount of attention due to its particular range-dependent beampattern. Firstly, the echo model of the FDA-MIMO radar is established; then the conventional Eigensapce-Based(ESB) beamformer is extended to this model. Finally, an improved ESB beamforming algorithm is proposed to enhance the performance in low Signal Noise Ratio(SNR). Simulation results show that the range-dependent interference from main lobe can be suppressed and the effectiveness of the proposed algorithm is verified.
    LI Xingxing, XIONG Zhimin, WANG Dangwei, MA Xiaoyan. An improved FDA–MIMO radar beamforming algorithm[J]. Journal of Terahertz Science and Electronic Information Technology , 2020, 18(4): 606
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