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