DocumentCode :
2765301
Title :
Linear adaptive channel equalization for multiuser MIMO-OFDM systems
Author :
Atapattu, Lakmali ; Arachchige, Gayan Munasinghe ; Ziri-Castro, Karla ; Suzuki, Hajime ; Jayalath, Dhammika
Author_Institution :
Fac. of Sci. & Eng., Queensland Univ. of Technol., Brisbane, QLD, Australia
fYear :
2012
fDate :
7-9 Nov. 2012
Firstpage :
1
Lastpage :
5
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) MIMO-OFDM wireless broadband communications system is proposed. The proposed equalization method adaptively compensate 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 benefitial for MU-MIMO-OFDM systems.
Keywords :
MIMO communication; OFDM modulation; equalisers; error statistics; least mean squares methods; recursive estimation; wireless channels; BER; LMS algorithm; MU MIMO-OFDM wireless broadband communications system; RLS algorithm; channel impairments; equalization method; frequency selectivity; least mean square algorithm; linear adaptive channel equalization; multiuser MIMO-OFDM systems; multiuser MIMO-OFDM wireless broadband communications system; recursive least-squares algorithm; training sequence method; Adaptive equalizers; Adaptive systems; Bit error rate; Least squares approximation; OFDM; Wireless communication; Adaptive Equalization; LMS; Linear Equalization; MIMO; OFDM; RLS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunication Networks and Applications Conference (ATNAC), 2012 Australasian
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-4408-1
Electronic_ISBN :
978-1-4673-4409-8
Type :
conf
DOI :
10.1109/ATNAC.2012.6398080
Filename :
6398080
Link To Document :
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