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Received: 2006-06-14

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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.10 P.1709~1716


MI-NLMS adaptive beamforming algorithm for smart antenna system applications

Author(s):  MOHAMMAD Tariqul Islam, ZAINOL Abidin Abdul Rashid

Affiliation(s):  Department of Electrical, Electronics and System Engineering, Faculty of Engineering, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor D.E., Malaysia

Corresponding email(s):   titareq@yahoo.com, zaar@vlsi.eng.ukm.my

Key Words:  Smart antenna, Beamforming algorithm, Least Mean Square (LMS), Normalized LMS (NLMS), Matrix Inversion NLMS (MI-NLMS)

MOHAMMAD Tariqul Islam, ZAINOL Abidin Abdul Rashid. MI-NLMS adaptive beamforming algorithm for smart antenna system applications[J]. Journal of Zhejiang University Science A, 2006, 7(10): 1709~1716.

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T1 - MI-NLMS adaptive beamforming algorithm for smart antenna system applications
A1 - MOHAMMAD Tariqul Islam
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J0 - Journal of Zhejiang University Science A
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A1709

A Matrix Inversion Normalized Least Mean Square (MI-NLMS) adaptive beamforming algorithm was developed for smart antenna application. The MI-NLMS which combined the individual good aspects of Sample Matrix Inversion (SMI) and the Normalized Least Mean Square (NLMS) algorithms is described. Simulation results showed that the less complexity MI-NLMS yields 15 dB improvements in interference suppression and 5 dB gain enhancement over LMS algorithm, converges from the initial iteration and achieves 24% BER improvements at cochannel interference equal to 5. For the case of 4-element uniform linear array antenna, MI-NLMS achieved 76% BER reduction over LMS algorithm.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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