基于小波变换的RLS波束成形算法研究

doi:10.11959/j.issn.1000-0801.2015029

Telecommunications Science ›› 2015, Vol. 31 ›› Issue (2): 108-112.doi: 10.11959/j.issn.1000-0801.2015029

• research and development • Previous Articles Next Articles

RLS Beamforming Algorithm Based on Wavelet Transform

Jihong Zhao^1,²,Pei Lei¹,Weihua Wang²,Hua Qu²,Dan He¹

¹ School of Telecommunication and Information Engineering, Xi'an University of Posts ＆Telecommunications, Xi'an 710061, China
² School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China

Online:2015-02-20 Published:2017-03-18
Supported by:
The National High Technology Research and Development Program of China （863 Program）;The National High Technology Research and Development Program of China （863 Program）;The National Natural Science Foundation of China;The National Science and Technology Major Project of China“A New Generation of Broadband Wireless Mobile Communication Network”

Abstract

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.

Key words: beamforming, recursive least square algorithm, wavelet transform

Jihong Zhao,Pei Lei,Weihua Wang,Hua Qu,Dan He. RLS Beamforming Algorithm Based on Wavelet Transform[J]. Telecommunications Science, 2015, 31(2): 108-112.

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References 11

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RLS Beamforming Algorithm Based on Wavelet Transform

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