MI-NLMS adaptive beamforming algorithm for smart antenna system applications

Mohammad Tariqul Islam, Abidin Abdul Rashid Zainol

Research output: Contribution to journalArticle

20 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1709-1716
Number of pages8
JournalJournal of Zhejiang University: Science
Volume7
Issue number10
DOIs
Publication statusPublished - Oct 2006

Fingerprint

Smart antennas
Beamforming
Cochannel interference
Interference suppression
Antenna arrays

Keywords

  • Beamforming algorithm
  • Least Mean Square (LMS)
  • Matrix Inversion NLMS (MI-NLMS)
  • Normalized LMS (NLMS)
  • Smart antenna

ASJC Scopus subject areas

  • Engineering(all)

Cite this

MI-NLMS adaptive beamforming algorithm for smart antenna system applications. / Islam, Mohammad Tariqul; Zainol, Abidin Abdul Rashid.

In: Journal of Zhejiang University: Science, Vol. 7, No. 10, 10.2006, p. 1709-1716.

Research output: Contribution to journalArticle

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