MI-NLMS adaptive beamforming algorithm for smart antenna system applications

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. Simulatio...

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Bibliographic Details
Published inJournal of Zhejiang University. A. Science Vol. 7; no. 10; pp. 1709 - 1716
Main Authors Mohammad, Tariqul Islam, Zainol, Abidin Abdual Rashid
Format Journal Article
LanguageEnglish
Published Department of Electrical, Electronics and System Engineering, Faculty of Engineering, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor D.E., Malaysia 01.10.2006
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ISSN1673-565X
1862-1775
DOI10.1631/jzus.2006.A1709

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Summary: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.
Bibliography:Smart antenna, Beamforming algorithm, Least Mean Square (LMS), Normalized LMS (NLMS), Matrix InversionNLMS (MI-NLMS)
TN828.6
33-1236/O4
ISSN:1673-565X
1862-1775
DOI:10.1631/jzus.2006.A1709