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Journal of Projectiles, Rockets, Missiles and Guidance >

2018 , Vol. 38 >Issue 3: 33 - 36,45

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2018.03.008

MISSILES AND GUIDANCE TECHNOLOGY

Research on Performance of Adaptive Beamforming Based on RLS Algorithm

  • FENG Xiaoyu ,
  • XIE Junwei ,
  • ZHANG Jing ,
  • ZHANG Zhaojian ,
  • WANG Bo
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  • 1 Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China
    2 Shaanxi College of Communication Technology, Xi'an 710018, China

Received date: 2017-07-03

  Online published: 2025-05-30

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Abstract

In the array signal processing, when there are pointing error, sensor position error and array element phase error (they are collectively called phase error), the performance of the conventional linearly constrained minimum variance (LCMV) algorithm will degrade significantly. Aiming at this problem, this paper simulates and analyzes the robustness of the recursive least squares (RLS) algorithm being applied to the the adaptive beam forming. The recursive algorithm is used to obtain the optimal weight vector, which has fast convergence speed, high numerical stability and good output signal to interference plus noise ratio. This algorithm can ensure the main lobe of the pattern pointing the direction of the signal, and nulling to the interference. Simulation results show that the algorithm has good robustness in the presence of phase errors.

Key words： phase error; linearly constrained minimum variance norm; recursive least squares; robust adaptive beam forming; optimalweight vector

Cite this article

FENG Xiaoyu , XIE Junwei , ZHANG Jing , ZHANG Zhaojian , WANG Bo . Research on Performance of Adaptive Beamforming Based on RLS Algorithm[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2018 , 38(3) : 33 -36,45 . DOI: 10.15892/j.cnki.djzdxb.2018.03.008

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