DocumentCode
2261494
Title
A new variable step-size LMS adaptive filtering algorithm for beamforming technology
Author
Hu, Maobing ; Tang, Wei ; Cai, Canhui
Author_Institution
Coll. of Inf. Sci. & Eng., Huaqiao Univ., Xiamen, China
fYear
2010
fDate
Nov. 29 2010-Dec. 2 2010
Firstpage
101
Lastpage
104
Abstract
In this paper, a novel variable step-size (VS) LMS (Least Mean Square) adaptive filtering algorithm for adaptive beamforming is proposed based on the conventional VS-LMS algorithm. In the condition of low SNIR, the proposed method improves the convergence rate and steady-state error by regulating the step size coefficient. Finally, an example for beamforming technology is illustrated and its results indicate that the improved algorithm can form a deeper null in the direction of the interference compared with the VS-LMS algorithm.
Keywords
adaptive filters; array signal processing; least mean squares methods; beamforming technology; convergence rate; steady-state error; step size coefficient; variable step-size least mean square adaptive filtering;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas Propagation and EM Theory (ISAPE), 2010 9th International Symposium on
Conference_Location
Guangzhou
Print_ISBN
978-1-4244-6906-2
Type
conf
DOI
10.1109/ISAPE.2010.5696406
Filename
5696406
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