CLC number: TN828.6
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
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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.
@article{title="MI-NLMS adaptive beamforming algorithm for smart antenna system applications",
author="MOHAMMAD Tariqul Islam, ZAINOL Abidin Abdul Rashid",
journal="Journal of Zhejiang University Science A",
volume="7",
number="10",
pages="1709-1716",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A1709"
}
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%T MI-NLMS adaptive beamforming algorithm for smart antenna system applications
%A MOHAMMAD Tariqul Islam
%A ZAINOL Abidin Abdul Rashid
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A1709
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A1 - ZAINOL Abidin Abdul Rashid
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 10
SP - 1709
EP - 1716
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A1709
Abstract: 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.
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