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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| Published in | Journal of Zhejiang University. A. Science Vol. 7; no. 10; pp. 1709 - 1716 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| 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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| Subjects | |
| Online Access | Get full text |
| ISSN | 1673-565X 1862-1775 |
| DOI | 10.1631/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. |
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| 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 |