RLS Beamforming Algorithm Based on Wavelet Transform

Jihong Zhao; Pei Lei; Weihua Wang; Hua Qu; Dan He

doi:10.11959/j.issn.1000-0801.2015029

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RLS Beamforming Algorithm Based on Wavelet Transform

research and development | 更新时间：2024-06-05

- RLS Beamforming Algorithm Based on Wavelet Transform
- Telecommunication Science Vol. 31, Issue 2, Pages: 108-112(2015)
- 作者机构：
  
  1. 西安邮电大学通信与信息工程学院西安 710061
  2. 西安交通大学电子信息学院西安 710049
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2015029
  CLC：
- Published Online：2015-02，
  
  Published：15 February 2015
- 稿件说明：
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Jihong Zhao, Pei Lei, Weihua Wang, et al. RLS Beamforming Algorithm Based on Wavelet Transform[J]. Telecommunication science, 2015, 31(2): 108-112.
DOI：

Jihong Zhao, Pei Lei, Weihua Wang, et al. RLS Beamforming Algorithm Based on Wavelet Transform[J]. Telecommunication science, 2015, 31(2): 108-112. DOI： 10.11959/j.issn.1000-0801.2015029.

摘要

为了解决递归最小二乘算法（RLS）在较低信噪比（SNR）、遗忘因子较小的环境中，对噪声敏感、收敛时参数估计误差大的问题，引入小波变换去噪思想，提出了基于小波变换的RLS 波束成形算法。该算法利用小波变换软阈值法进行信号去噪，再采用RLS 算法进行波束成形。最后对实验进行仿真，仿真结果表明，与传统的 RLS 算法相比，该算法具有较小的稳态误差和较快的跟踪速度和收敛速度，并且波束成形效果好。

Abstract

On the basis of analyzing the recursive least square algorithm（RLS）

in order to improve the performance of RLS algorithm

the idea of denoising by wavelet transform was introduced and the RLS beamforming algorithm which is based on wavelet transform was put forward. This algorithm uses soft thresholding wavelet transform for signal denoising

solves the problem that the traditional Adaptive beamforming algorithm is sensitive to noise and the steady-state error is big under the environment of the low signal to noise ratio（SNR）and small forgetting factor. Finally

the simulation results show that compared with the traditional RLS algorithm

this algorithm has smaller steady-state error and fast tracking speed and convergence speed

and good results of beamforming.

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references

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