Particle swarm optimisation-based DWT for symbol detection in MIMO-OFDM system

Asma Bouhlel, Anis Sakly and Mohamed Nejib Mansouri

International Journal of Networking and Virtual Organisations, 2018, vol. 18, issue 2, 130-143

Abstract: This paper proposes a new detection algorithm called particular swarm optimisation (PSO)-based discrete wavelet transform (DWT) for multiple-input-multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) system. In all previous studies, PSO detection algorithm and DWT were separately proposed for MIMO-OFDM systems. Motivated by the performances enhancement achieved by these techniques, PSO is combined to DWT transform in this work for symbol detection in MIMO-OFDM system. The simulation results show that the proposed PSO-based DWT MIMO-OFDM system boosts the performances of zeros forcing (ZF), minimum mean square error (MMSE), and even PSO-based FFT MIMO-OFDM equaliser. The proposed detector presents near optimal performances in terms of bit error rate (BER) and a significant computational complexity reduction for different constellation diagram and number of transmitting antennas compared to maximum likelihood (ML) detector.

Keywords: multiple-input-multiple-output orthogonal frequency division multiplexing; MIMO-OFDM; discrete wavelet transform; DWT; particular swarm optimisation; PSO; maximum likelihood; ML. (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijnvor:v:18:y:2018:i:2:p:130-143

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