International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2569

Full Length Research Paper

Space-time block-coded systems using numeric variable forgetting factor least squares channel estimator

Amit Grover1 and Amit Kumar Kohli2*
  1Department of Electronics and Communication Engineering, Shaheed Bhagat Singh College of Engineering and Technology, Ferozepur – 152002, Punjab, India. 2Department of Electronics and Communication Engineering, Thapar University, Patiala – 147004, Punjab, India.
Email: [email protected], [email protected]

  •  Accepted: 02 November 2011
  •  Published: 02 December 2011

Abstract

 

In this correspondence, the bit-error-rate (BER) performance evaluation of the space-time block-coded (STBC) communication systems using the numeric-variable-forgetting-factor (NVFF) least-squares (LS) channel estimator is presented. The polynomial channel paradigm is incorporated in LS algorithm in conjunction with NVFF to improve the channel tracking performance under the nonstationary wireless environment. The implementation of NVFF precludes the usage of LMS based VFF updating, and it also reduces the computational complexity. The simulation results are presented to demonstrate that the BER performance of STBC communication system using the linear least squares algorithm based channel estimator with NVFF outperforms the higher-order polynomial model-based and conventional VFF-based approaches, when M-ary QAM signal constellations are used for the wireless transmission.

 

Key words: Space-time block-codes, least squares algorithm, Rayleigh fading, Markov process, variable forgetting factor.

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This article is published under the terms of the Creative Commons Attribution License 4.0

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