Linear adaptive channel equalization for multiuser MIMO-OFDM systems

Atapattu, Lakmali Nadisha Kumari, Munasinghe, Gayan, Ziri-Castro, Karla I., Suzuki, Hajime, & Jayalath, Dhammika (2013) Linear adaptive channel equalization for multiuser MIMO-OFDM systems. In Proceedings of ATNAC 2012 Australasian Telecommunication Networks and Applications Conferencence 2012, Brisbane, QLD.

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Abstract

Linear adaptive channel equalization using the least mean square (LMS) algorithm and the recursive least-squares(RLS) algorithm for an innovative multi-user (MU) MIMOOFDM wireless broadband communications system is proposed. The proposed equalization method adaptively compensates the channel impairments caused by frequency selectivity in the propagation environment. Simulations for the proposed adaptive equalizer are conducted using a training sequence method to determine optimal performance through a comparative analysis. Results show an improvement of 0.15 in BER (at a SNR of 16 dB) when using Adaptive Equalization and RLS algorithm compared to the case in which no equalization is employed. In general, adaptive equalization using LMS and RLS algorithms showed to be significantly beneficial for MU-MIMO-OFDM systems.

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ID Code: 56614
Item Type: Conference Paper
Refereed: Yes
Additional Information: Session best paper authors will be invited to submit a paper to the Australian Journal of Electrical and Electronics Engineering June 2013 special issue on telecommunication networks and applications.
Keywords: Adaptive Equalization, MIMO, OFDM, Linear Equalization, LMS, RLS
DOI: 10.1109/atnac.2012.6398080
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 please consult the authors
Deposited On: 23 Jan 2013 04:59
Last Modified: 19 Feb 2013 02:26

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