Title :
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
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;
Conference_Titel :
Communication Systems (ICCS), 2012 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-2052-8
DOI :
10.1109/ICCS.2012.6406120
