Receiver diversity combining using evolutionary algorithms in rayleigh fading channel

El-Saleh, Ayman A. and Akbari, Mohsen and Manesh, Mohsen Riahi and Reza, Ahmed Wasif (2014) Receiver diversity combining using evolutionary algorithms in rayleigh fading channel. The Scientific World Journal, 2014. ISSN 1537-744X

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Official URL: http://www.hindawi.com/journals/tswj/2014/128195/

Abstract

In diversity combining at the receiver, the output signal-to-noise ratio (SNR) is often maximized by using the maximal ratio combining (MRC) provided that the channel is perfectly estimated at the receiver. However, channel estimation is rarely perfect in practice, which results in deteriorating the system performance. In this paper, an imperialistic competitive algorithm (ICA) is proposed and compared with two other evolutionary based algorithms, namely, particle swarm optimization (PSO) and genetic algorithm (GA), for diversity combining of signals travelling across the imperfect channels. The proposed algorithm adjusts the combiner weights of the received signal components in such a way that maximizes the SNR and minimizes the bit error rate (BER). The results indicate that the proposed method eliminates the need of channel estimation and can outperform the conventional diversity combining methods.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 19 Aug 2014 05:14
Last Modified: 19 Aug 2014 05:14
URI: http://shdl.mmu.edu.my/id/eprint/5685

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