Performance and complexity improvement of least squares channel estimation in MIMO systems

Mohammad Tariqul Islam, Mostafa Wasiuddin Numan, Norbahiah Misran

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Multiple-input multiple-output (MIMO) system has come forward as a generic technique that promises to be a strong contender for future generation wireless communication. In this paper, orthogonal matrix triangularization is utilized to carry out performance improvement and complexity reduction of MIMO channel estimation. The technique is applied on least squares (LS) channel estimation and the performance evaluations are validated through computer simulations using MATLAB® in terms of bit error rate (BER). Simulation results indicate that the proposed method considerably improves the system performance and significantly reduces the complexity caused by matrix inversion. The performance and complexity of the proposed method clearly outperforms the conventional LS channel estimation method and proves itself a smart solution for MIMO channel estimation.

Original languageEnglish
Pages (from-to)134-138
Number of pages5
JournalIranian Journal of Electrical and Computer Engineering
Volume9
Issue number2
Publication statusPublished - Jun 2010

Fingerprint

Channel estimation
Bit error rate
MATLAB
Communication
Computer simulation

Keywords

  • Channel estimation
  • Channel state information (CSI)
  • Least squares (LS)
  • Multiple-input multiple-output (MIMO)
  • Orthogonal matrix triangularization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science(all)

Cite this

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abstract = "Multiple-input multiple-output (MIMO) system has come forward as a generic technique that promises to be a strong contender for future generation wireless communication. In this paper, orthogonal matrix triangularization is utilized to carry out performance improvement and complexity reduction of MIMO channel estimation. The technique is applied on least squares (LS) channel estimation and the performance evaluations are validated through computer simulations using MATLAB{\circledR} in terms of bit error rate (BER). Simulation results indicate that the proposed method considerably improves the system performance and significantly reduces the complexity caused by matrix inversion. The performance and complexity of the proposed method clearly outperforms the conventional LS channel estimation method and proves itself a smart solution for MIMO channel estimation.",
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AB - Multiple-input multiple-output (MIMO) system has come forward as a generic technique that promises to be a strong contender for future generation wireless communication. In this paper, orthogonal matrix triangularization is utilized to carry out performance improvement and complexity reduction of MIMO channel estimation. The technique is applied on least squares (LS) channel estimation and the performance evaluations are validated through computer simulations using MATLAB® in terms of bit error rate (BER). Simulation results indicate that the proposed method considerably improves the system performance and significantly reduces the complexity caused by matrix inversion. The performance and complexity of the proposed method clearly outperforms the conventional LS channel estimation method and proves itself a smart solution for MIMO channel estimation.

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