DocumentCode :
2409667
Title :
A Novel Non-Parametric Iterative Soft Bit Error Rate Estimation Technique for Digital Communications Systems
Author :
Saoudi, Samir ; Ait-Idir, Tarik ; Mochida, Yukou
Author_Institution :
Signal & Commun. Dept., Univ. Europeenne de Bretagne (UeB), Brest, France
fYear :
2011
fDate :
5-9 June 2011
Firstpage :
1
Lastpage :
6
Abstract :
This paper addresses the problem of unsupervised soft BER estimation for digital communications systems, where no prior knowledge about transmitted information bits is available. We show that the problem of BER estimation is equivalent to estimating the conditional probability density functions (pdf)s of soft channel/receiver outputs. We also propose a non parametric Gaussian Kernel-based pdf estimation technique. Then, we introduce an iterative stochastic expectation maximization (EM) algorithm for the estimation of both a priori and a posteriori probabilities of transmitted information bits, and the classification of soft observations according to transmitted bit values. These inputs serve in the iterative procedure used for the estimation of conditional pdfs. We analyze the performance of the proposed BER estimator and show that is asymptotically unbiased and point-wise consistent. We also provide numerical results in the case of CDMA systems and show that attractive performance is achieved compared with conventional Monte Carlo (MC)-aided techniques.
Keywords :
Gaussian processes; code division multiple access; digital communication; error statistics; expectation-maximisation algorithm; probability; CDMA system; a posteriori probability estimation; a priori probability estimation; conditional probability density function estimation; digital communications system; iterative stochastic expectation maximization algorithm; nonparametric Gaussian kernel; nonparametric iterative soft bit error rate estimation; soft channel output; soft receiver output; unsupervised soft BER estimation; Bit error rate; Channel estimation; Estimation; Monte Carlo methods; Receivers; Signal to noise ratio; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2011 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1550-3607
Print_ISBN :
978-1-61284-232-5
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/icc.2011.5962691
Filename :
5962691
Link To Document :
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