Poda , Pasteur and Saoudi , Samir and Chonavel , Thierry and GUILLOUD , Frédéric and Tapsoba , Théodore , - Non-parametric kernel-based bit error probability estimation in digital communication systems: An estimator for soft coded QAM BER computation

arima:4348 - Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées, August 3, 2018, Volume 27 - 2017 - Special issue CARI 2016
Non-parametric kernel-based bit error probability estimation in digital communication systems: An estimator for soft coded QAM BER computation

Authors: Poda , Pasteur and Saoudi , Samir and Chonavel , Thierry and GUILLOUD , Frédéric and Tapsoba , Théodore ,

The standard Monte Carlo estimations of rare events probabilities suffer from too much computational time. To make estimations faster, kernel-based estimators proved to be more efficient for binary systems whilst appearing to be more suitable in situations where the probability density function of the samples is unknown. We propose a kernel-based Bit Error Probability (BEP) estimator for coded M-ary Quadrature Amplitude Modulation (QAM) systems. We defined soft real bits upon which an Epanechnikov kernel-based estimator is designed. Simulation results showed, compared to the standard Monte Carlo simulation technique, accurate, reliable and efficient BEP estimates for 4-QAM and 16-QAM symbols transmissions over the additive white Gaussian noise channel and over a frequency-selective Rayleigh fading channel.


Source : oai:HAL:hal-01449035v3
Volume: Volume 27 - 2017 - Special issue CARI 2016
Published on: August 3, 2018
Submitted on: March 6, 2018
Keywords: Monte Carlo method, Kernel estimator, Bit error rate, Probability density function, Méthode Monte Carlo,Bit error probability, Fonction de densité de probabilité,Probabilité d’erreur binaire, Taux d’erreur binaire, Estimateur à noyau,Bit error rate,Probability density function,Monte Carlo method,Kernel estimator, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [ SPI.OTHER ] Engineering Sciences [physics]/Other


Share

Consultation statistics

This page has been seen 22 times.
This article's PDF has been downloaded 9 times.