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A novel hybrid adaptive algorithm for improvement of mean square error convergence

A novel hybrid adaptive algorithm for improvement of mean square error convergence Over the last few years, wireless communications have experienced rapid growth in the demand for high data rate multimedia services. This fact motivates to improve the spectrum efficiency of wireless systems. Smart antennas have emerged as a promising technology to enhance the spectrum efficiency wireless systems by exploiting the spatial domain. The performance of the smart antenna depends upon its signal processing block, which contains an adaptive algorithm. In this work, three algorithms; adaptive amplitude normalised gradient decent (AANGD), complex least mean square (CLMS) and augmented CLMS (ACLMS) are considered which are proved to be suitable for beam forming. Two hybrid algorithms are also proposed by considering these three algorithms as heuristics. The mean square error (MSE) for three heuristics and hybrid algorithms is computed. A Smart Antenna system is simulated, and MSE convergence is observed to be improved by the hybridisation of CLMS and ACLMS algorithms over individual algorithms. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Systems, Control and Communications Inderscience Publishers

A novel hybrid adaptive algorithm for improvement of mean square error convergence

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References (16)

Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1755-9340
eISSN
1755-9359
DOI
10.1504/IJSCC.2014.062804
Publisher site
See Article on Publisher Site

Abstract

Over the last few years, wireless communications have experienced rapid growth in the demand for high data rate multimedia services. This fact motivates to improve the spectrum efficiency of wireless systems. Smart antennas have emerged as a promising technology to enhance the spectrum efficiency wireless systems by exploiting the spatial domain. The performance of the smart antenna depends upon its signal processing block, which contains an adaptive algorithm. In this work, three algorithms; adaptive amplitude normalised gradient decent (AANGD), complex least mean square (CLMS) and augmented CLMS (ACLMS) are considered which are proved to be suitable for beam forming. Two hybrid algorithms are also proposed by considering these three algorithms as heuristics. The mean square error (MSE) for three heuristics and hybrid algorithms is computed. A Smart Antenna system is simulated, and MSE convergence is observed to be improved by the hybridisation of CLMS and ACLMS algorithms over individual algorithms.

Journal

International Journal of Systems, Control and CommunicationsInderscience Publishers

Published: Jan 1, 2014

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