• Electronics Optics & Control
  • Vol. 27, Issue 7, 26 (2020)
LIU Qiwei, LIU Xi, NIU Weiqin, and SI Zhenfei
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2020.07.005 Cite this Article
    LIU Qiwei, LIU Xi, NIU Weiqin, SI Zhenfei. Blind Beamforming Algorithm Based on Hough-Iterative Fourier Transform[J]. Electronics Optics & Control, 2020, 27(7): 26 Copy Citation Text show less

    Abstract

    The current blind beamforming algorithms have poor adaptability.When used in multi-objective analysis, the cascading mode has a complex structure, the parallel mode has poor robustness, and the time-frequency analysis has difficulty in estimating the steering vector.In this paper, a multi-objective blind beamforming algorithm is proposed based on the Hough-Iterative Fourier Transform(HIFT).The algorithm firstly solves the estimation problem of the steering vector by the short-time Fourier transform and the Hough transform, then implements the waveform control by controlling the side lobe level and the transitional zone through the design of a beam pattern projection operator. Finally, the parallel output of the blind beam of multiple targets is obtained.The experimental analysis results show that:1) This algorithm is different from most of the existed beamforming algorithms, and has no need for inverse and small calculation cost; and 2) The side lobe and other parameters can be designed flexibly according to the actual situation, and the beam output performance is stable.
    LIU Qiwei, LIU Xi, NIU Weiqin, SI Zhenfei. Blind Beamforming Algorithm Based on Hough-Iterative Fourier Transform[J]. Electronics Optics & Control, 2020, 27(7): 26
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