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Communication Dans Un Congrès Année : 2016

A Kernel-based soft BER estimator for coded QAM transmission systems

Résumé

This paper addresses the problem of the Monte Carlo method complexity reduction regarding bit error probability (BEP) estimation. A kernel-based BEP estimator is designed for coded M-ary quadrature amplitude modulation (QAM) transmissions schemes. The design of the kernel estimator is made in a context where the soft observations are spread along a bounded support. An Epanechnikov kernel function is chosen. The optimal smoothing parameter is selected based on an asymptotic mean integrated squared error criterion and replacing the unkonwn density function by a reference distribution. Simulations are run for 4-QAM transmission scheme over a frequency-selective Rayleigh fading channel. The proposed estimator is demonstrated reliable and efficient bringing otherwise significative sample size savings.
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Dates et versions

hal-01487070 , version 1 (10-03-2017)

Identifiants

  • HAL Id : hal-01487070 , version 1

Citer

Pasteur Poda, Tapsoba Theodore, Samir Saoudi, Thierry Chonavel, Frédéric Guilloud. A Kernel-based soft BER estimator for coded QAM transmission systems. ISIVC 2016 : 8th International Symposium on Signal, Image, Video and Communications, Nov 2016, Tunis, Tunisia. ⟨hal-01487070⟩
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