MI-NLMS Adaptive beamfonning algorithm with tracking ability

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

In this study, a Matrix Inversion Normalized Least Mean Square (MI-NLMS) adaptive beamforming algorithm is described with tracking. The MI-NLMS 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. Simulation results showed that the improvement in Bit Error Rate (BER) performances is proportional to the number of antenna elements employed in the antenna array. The MI-NLMS algorithm demonstrates an outstanding tracking ability with respect to LMS algorithm in the various signal environments.

Original languageEnglish
Pages (from-to)2335-2339
Number of pages5
JournalJournal of Applied Sciences
Volume9
Issue number12
DOIs
Publication statusPublished - 2009

Fingerprint

Adaptive algorithms
Beamforming
Antenna arrays
Bit error rate
Antennas

Keywords

  • Beamforming algorithm
  • Least mean square
  • Matrix inversion NLMS
  • Normalized LMS
  • Smart antenna

ASJC Scopus subject areas

  • General

Cite this

MI-NLMS Adaptive beamfonning algorithm with tracking ability. / Islam, Mohammad Tariqul; Misran, Norbahiah.

In: Journal of Applied Sciences, Vol. 9, No. 12, 2009, p. 2335-2339.

Research output: Contribution to journalArticle

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