### Abstract

A novel fast adaptive matrix inversion normalized least mean square (MI-NLMS) beamforming algorithm for smart antenna system is analyzed in this paper. The MINLMS adaptive beamforming algorithm was developed by combining the sample matrix inversion (SMI) and the normalized least mean square (NLMS) algorithms taking the individual good aspects of both algorithms; the block adaptive and sample by sample technique. The algorithm provides faster convergence speed and less complexity. Simulation results using MATLAB ^{®}6.5 showed that the less complexity MI-NLMS yields 10 dB improvements in interference suppression towards the interferer at 90° and converge from the initial iteration. Simulation results in various signal environments are also presented to show the performance of the proposed algorithm.

Original language | English |
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Title of host publication | Proceedings of the 5th IASTED International Conference on Antennas, Radar, and Wave Propagation, ARP 2008 |

Pages | 22-26 |

Number of pages | 5 |

Publication status | Published - 2008 |

Event | 5th IASTED International Conference on Antennas, Radar, and Wave Propagation, ARP 2008 - Baltimore, MD Duration: 16 Apr 2008 → 18 Apr 2008 |

### Other

Other | 5th IASTED International Conference on Antennas, Radar, and Wave Propagation, ARP 2008 |
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City | Baltimore, MD |

Period | 16/4/08 → 18/4/08 |

### Fingerprint

### Keywords

- And normalized LMS (NLMS)
- Beamforming algorithm
- Directionof arrival (DOA)
- Least mean square (LMS)
- Smart antenna system
- Uniform linear array (ULA)

### ASJC Scopus subject areas

- Electrical and Electronic Engineering

### Cite this

*Proceedings of the 5th IASTED International Conference on Antennas, Radar, and Wave Propagation, ARP 2008*(pp. 22-26)

**Analysis of fast adaptive MI-MLMS beamforming algorithm for smart antenna system.** / Islam, Mohammad Tariqul; Misran, Norbahiah.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of the 5th IASTED International Conference on Antennas, Radar, and Wave Propagation, ARP 2008.*pp. 22-26, 5th IASTED International Conference on Antennas, Radar, and Wave Propagation, ARP 2008, Baltimore, MD, 16/4/08.

}

TY - GEN

T1 - Analysis of fast adaptive MI-MLMS beamforming algorithm for smart antenna system

AU - Islam, Mohammad Tariqul

AU - Misran, Norbahiah

PY - 2008

Y1 - 2008

N2 - A novel fast adaptive matrix inversion normalized least mean square (MI-NLMS) beamforming algorithm for smart antenna system is analyzed in this paper. The MINLMS adaptive beamforming algorithm was developed by combining the sample matrix inversion (SMI) and the normalized least mean square (NLMS) algorithms taking the individual good aspects of both algorithms; the block adaptive and sample by sample technique. The algorithm provides faster convergence speed and less complexity. Simulation results using MATLAB ®6.5 showed that the less complexity MI-NLMS yields 10 dB improvements in interference suppression towards the interferer at 90° and converge from the initial iteration. Simulation results in various signal environments are also presented to show the performance of the proposed algorithm.

AB - A novel fast adaptive matrix inversion normalized least mean square (MI-NLMS) beamforming algorithm for smart antenna system is analyzed in this paper. The MINLMS adaptive beamforming algorithm was developed by combining the sample matrix inversion (SMI) and the normalized least mean square (NLMS) algorithms taking the individual good aspects of both algorithms; the block adaptive and sample by sample technique. The algorithm provides faster convergence speed and less complexity. Simulation results using MATLAB ®6.5 showed that the less complexity MI-NLMS yields 10 dB improvements in interference suppression towards the interferer at 90° and converge from the initial iteration. Simulation results in various signal environments are also presented to show the performance of the proposed algorithm.

KW - And normalized LMS (NLMS)

KW - Beamforming algorithm

KW - Directionof arrival (DOA)

KW - Least mean square (LMS)

KW - Smart antenna system

KW - Uniform linear array (ULA)

UR - http://www.scopus.com/inward/record.url?scp=63049132836&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=63049132836&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:63049132836

SN - 9780889867369

SP - 22

EP - 26

BT - Proceedings of the 5th IASTED International Conference on Antennas, Radar, and Wave Propagation, ARP 2008

ER -