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

Authors: Yarlagadda Ramakrishna; Potluri Venkata Subbaiah; Bhima Prabhakara Rao

Addresses: PVP Siddhartha Institute of Technology, Kanuru, Vijayawada-520 007, Andhra Pradesh, India ' Amrita Sai Institute of Science and Technology, Paritala, Krishna District – 521 180, Andhra Pradesh, India ' JNT University, Kakinada-533003, East Godavari Dist., Andhra Pradesh, India

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.

Keywords: adaptive algorithms; smart antennas; mean square errors; MSE; complex least mean square; CLMS; augmented complex least mean square; ACLMS; beam forming; adaptive amplitude normalised gradient decent; AANGD; wireless systems; hybrid algorithms; simulation.

DOI: 10.1504/IJSCC.2014.062804

International Journal of Systems, Control and Communications, 2014 Vol.6 No.1, pp.59 - 68

Received: 04 Dec 2013
Accepted: 04 Jan 2014
Published online: 26 Jul 2014 *

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