Adaptive Beamforming Algorithm with Fast Convergence Speed

doi:10.13190/j.jbupt.2014.05.022

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2014, Vol. 37 ›› Issue (5): 105-108.doi: 10.13190/j.jbupt.2014.05.022

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Adaptive Beamforming Algorithm with Fast Convergence Speed

ZHAO Ji-hong^1,2, ZHANG Rui-qing¹, QU Hua¹

1. School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China;
2. School of Telecommunications and Information Engineering, Xi'an University of Posts ann Telecommunications, Xi'an 710061, China

Received:2013-11-18 Online:2014-10-28 Published:2014-11-07

Abstract

Abstract:

The conventional least mean square (LMS) based adaptive beamforming converges very slowly under low signal-to-noise ratio (SNR), thus an adaptive beamforming algorithm in wavelet domain with a fast convergence rate was put forward. The white Gaussian noise could be erased by means of wavelet transform soft-threshold method. Besides, Newton's method was further applied in LMS algorithm for beamforming in wavelet domain. Simulation shows that the proposed algorithm indeed improve the convergence accuracy and the convergence rate compared with either the conventional LMS algorithm or the existed LMS algorithm in wavelet domain. It also substantially improves the accuracy of beamforming compared with the conventional LMS algorithm.

Key words: adaptive beamforming, wavelet transform, Newton's method

CLC Number:

TN929.53

ZHAO Ji-hong, ZHANG Rui-qing, QU Hua. Adaptive Beamforming Algorithm with Fast Convergence Speed[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(5): 105-108.

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Adaptive Beamforming Algorithm with Fast Convergence Speed

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