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Pasteur Poda ; Samir Saoudi ; Thierry Chonavel ; Frédéric GUILLOUD ; Théodore Tapsoba - 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 Recherche en Informatique et Mathématiques Appliquées, August 3, 2018, Volume 27 - 2017 - Special issue CARI 2016 - https://doi.org/10.46298/arima.4348
3,4; Thierry Chonavel 3,5; Frédéric GUILLOUD ; Théodore Tapsoba 1,2
- 1 Université Polytechnique Nazi Boni Bobo-Dioulasso
- 2 Université Nazi Boni (Bobo-Dioulasso) [UNB]
- 3 Département Signal et Communications
- 4 Lab-STICC_IMTA_CACS_COM
- 5 Lab-STICC_IMTA_CID_TOMS
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.
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