A Kernel-based soft BER estimator for coded QAM transmission systems - Archive ouverte HAL Access content directly
Conference Papers Year : 2016

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

Abstract

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.
Not file

Dates and versions

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

Identifiers

  • HAL Id : hal-01487070 , version 1

Cite

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⟩
196 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More