Performance of adaptive beamforming algorithm for angle separation and interference power level

Research output: Contribution to journalArticle

Abstract

The performance of matrix inversion normalized least mean square (MI-NLMS) adaptive beamforming algorithm for angle separation and interference power level is presented in this paper. The MI-NLMS adaptive beamforming algorithm is implemented for smart antenna in orthogonal frequency division multiplexing (OFDM) system, using frequency domain beamforming approach to improve the performance. The proposed algorithm for adaptive beamforming in OFDM system was developed by combining the sample matrix inversion (SMI) and the normalized least mean square (NLMS) algorithms, taking the individual good aspects of both the algorithms: the block adaptive and sample by sample techniques. Based on the obtained results, it appears that the MI-NLMS has low Bit Error Rate (BER) compared to the Least Mean Square (LMS) algorithm in terms of the angle separation for the desired user and interferer and interference power level. The MI-NLMS provides a very good interference suppression capability and better BER rate which is 84.50% compared to LMS algorithm, at an interference level of 0 dB.

Original languageEnglish
Pages (from-to)57-63
Number of pages7
JournalIETE Journal of Research
Volume57
Issue number1
DOIs
Publication statusPublished - Jan 2011

Fingerprint

Least Mean Square
Beamforming
Matrix Inversion
Interference
Angle
Orthogonal Frequency Division multiplexing (OFDM)
Bit error rate
Orthogonal frequency division multiplexing
Error Rate
Smart Antennas
Interference Suppression
Smart antennas
Interference suppression
Frequency Domain

Keywords

  • Adaptive algorithm
  • Bit error rate
  • Convergence
  • Mean square error
  • Orthogonal frequency division multiplexing
  • Smart antenna

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Theoretical Computer Science
  • Computer Science Applications

Cite this

@article{71f90ae872564d0d921f521e799f6880,
title = "Performance of adaptive beamforming algorithm for angle separation and interference power level",
abstract = "The performance of matrix inversion normalized least mean square (MI-NLMS) adaptive beamforming algorithm for angle separation and interference power level is presented in this paper. The MI-NLMS adaptive beamforming algorithm is implemented for smart antenna in orthogonal frequency division multiplexing (OFDM) system, using frequency domain beamforming approach to improve the performance. The proposed algorithm for adaptive beamforming in OFDM system was developed by combining the sample matrix inversion (SMI) and the normalized least mean square (NLMS) algorithms, taking the individual good aspects of both the algorithms: the block adaptive and sample by sample techniques. Based on the obtained results, it appears that the MI-NLMS has low Bit Error Rate (BER) compared to the Least Mean Square (LMS) algorithm in terms of the angle separation for the desired user and interferer and interference power level. The MI-NLMS provides a very good interference suppression capability and better BER rate which is 84.50{\%} compared to LMS algorithm, at an interference level of 0 dB.",
keywords = "Adaptive algorithm, Bit error rate, Convergence, Mean square error, Orthogonal frequency division multiplexing, Smart antenna",
author = "Islam, {Mohammad Tariqul} and {Jit Singh}, {Mandeep Singh} and Norbahiah Misran and Baharudin Yatim",
year = "2011",
month = "1",
doi = "10.4103/0377-2063.78343",
language = "English",
volume = "57",
pages = "57--63",
journal = "J Inst Electron Telecommun Eng",
issn = "0377-2063",
publisher = "Medknow Publications and Media Pvt. Ltd",
number = "1",

}

TY - JOUR

T1 - Performance of adaptive beamforming algorithm for angle separation and interference power level

AU - Islam, Mohammad Tariqul

AU - Jit Singh, Mandeep Singh

AU - Misran, Norbahiah

AU - Yatim, Baharudin

PY - 2011/1

Y1 - 2011/1

N2 - The performance of matrix inversion normalized least mean square (MI-NLMS) adaptive beamforming algorithm for angle separation and interference power level is presented in this paper. The MI-NLMS adaptive beamforming algorithm is implemented for smart antenna in orthogonal frequency division multiplexing (OFDM) system, using frequency domain beamforming approach to improve the performance. The proposed algorithm for adaptive beamforming in OFDM system was developed by combining the sample matrix inversion (SMI) and the normalized least mean square (NLMS) algorithms, taking the individual good aspects of both the algorithms: the block adaptive and sample by sample techniques. Based on the obtained results, it appears that the MI-NLMS has low Bit Error Rate (BER) compared to the Least Mean Square (LMS) algorithm in terms of the angle separation for the desired user and interferer and interference power level. The MI-NLMS provides a very good interference suppression capability and better BER rate which is 84.50% compared to LMS algorithm, at an interference level of 0 dB.

AB - The performance of matrix inversion normalized least mean square (MI-NLMS) adaptive beamforming algorithm for angle separation and interference power level is presented in this paper. The MI-NLMS adaptive beamforming algorithm is implemented for smart antenna in orthogonal frequency division multiplexing (OFDM) system, using frequency domain beamforming approach to improve the performance. The proposed algorithm for adaptive beamforming in OFDM system was developed by combining the sample matrix inversion (SMI) and the normalized least mean square (NLMS) algorithms, taking the individual good aspects of both the algorithms: the block adaptive and sample by sample techniques. Based on the obtained results, it appears that the MI-NLMS has low Bit Error Rate (BER) compared to the Least Mean Square (LMS) algorithm in terms of the angle separation for the desired user and interferer and interference power level. The MI-NLMS provides a very good interference suppression capability and better BER rate which is 84.50% compared to LMS algorithm, at an interference level of 0 dB.

KW - Adaptive algorithm

KW - Bit error rate

KW - Convergence

KW - Mean square error

KW - Orthogonal frequency division multiplexing

KW - Smart antenna

UR - http://www.scopus.com/inward/record.url?scp=79953768197&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79953768197&partnerID=8YFLogxK

U2 - 10.4103/0377-2063.78343

DO - 10.4103/0377-2063.78343

M3 - Article

AN - SCOPUS:79953768197

VL - 57

SP - 57

EP - 63

JO - J Inst Electron Telecommun Eng

JF - J Inst Electron Telecommun Eng

SN - 0377-2063

IS - 1

ER -