RLS Beamforming Algorithm Based on Wavelet Transform

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 thresho...

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Main Authors: Jihong Zhao, Pei Lei, Weihua Wang, Hua Qu, Dan He
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2015-02-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015029/
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author Jihong Zhao
Pei Lei
Weihua Wang
Hua Qu
Dan He
author_facet Jihong Zhao
Pei Lei
Weihua Wang
Hua Qu
Dan He
author_sort Jihong Zhao
collection DOAJ
description 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.
format Article
id doaj-art-44dd5bc053344109be50a38750ff254f
institution Kabale University
issn 1000-0801
language zho
publishDate 2015-02-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-44dd5bc053344109be50a38750ff254f2025-01-15T03:24:20ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-02-013110811259798938RLS Beamforming Algorithm Based on Wavelet TransformJihong ZhaoPei LeiWeihua WangHua QuDan HeOn 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015029/beamformingrecursive least square algorithmwavelet transform
spellingShingle Jihong Zhao
Pei Lei
Weihua Wang
Hua Qu
Dan He
RLS Beamforming Algorithm Based on Wavelet Transform
Dianxin kexue
beamforming
recursive least square algorithm
wavelet transform
title RLS Beamforming Algorithm Based on Wavelet Transform
title_full RLS Beamforming Algorithm Based on Wavelet Transform
title_fullStr RLS Beamforming Algorithm Based on Wavelet Transform
title_full_unstemmed RLS Beamforming Algorithm Based on Wavelet Transform
title_short RLS Beamforming Algorithm Based on Wavelet Transform
title_sort rls beamforming algorithm based on wavelet transform
topic beamforming
recursive least square algorithm
wavelet transform
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015029/
work_keys_str_mv AT jihongzhao rlsbeamformingalgorithmbasedonwavelettransform
AT peilei rlsbeamformingalgorithmbasedonwavelettransform
AT weihuawang rlsbeamformingalgorithmbasedonwavelettransform
AT huaqu rlsbeamformingalgorithmbasedonwavelettransform
AT danhe rlsbeamformingalgorithmbasedonwavelettransform