Compensation for nonlinear distortion in MIMO OFDM systems using MMSE receiver

Author

Cherif, Moumen ; Zayani, R. ; Bouallegue, R.

Author_Institution

Innov´Com Lab., Univ. of Carthage, Tunis, Tunisia

fYear

2012

fDate

21-23 Nov. 2012

Firstpage

115

Lastpage

119

Abstract

This paper presents a compensating method based on Neural Network (NN) of Non-Linear (NL) distortion, which caused by High Power Amplifier (HPA) in Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO OFDM) systems. In this work, we present and we evaluate with simulation, the effect of nonlinearity on the system capacity and the performance of NN compensator accompanied with Minimum Mean Square Error (MMSE) receiver in a VBLAST (Vertical Bell Laboratories Layered Space-Time) MIMO OFDM systems running under a Rayleigh fading channel.

Keywords

MIMO communication; Rayleigh channels; least mean squares methods; neural nets; nonlinear distortion; power amplifiers; radio receivers; telecommunication computing; HPA; MMSE receiver; Rayleigh fading channel; VBLAST; high power amplifier; minimum mean square error receiver; multiple-input multiple-output orthogonal frequency division multiplexing system; neural network compensator; nonlinear distortion compensation; system capacity; vertical Bell Laboratories layered space-time MIMO OFDM system; Artificial neural networks; Frequency domain analysis; MIMO; Neurons; Nonlinear distortion; OFDM; Receivers; HPA; MIMO; MLP; MMSE; NETWORK; NEURAL; OFDM; VBLAST;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems (ICCS), 2012 IEEE International Conference on

Conference_Location

Singapore

ISSN

Pending

Print_ISBN

978-1-4673-2052-8

Type

conf

DOI

10.1109/ICCS.2012.6406120

Filename

6406120