• 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.