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Communication Dans Un Congrès Année : 2012

Unsupervised Bit Error Rate Estimation Using Maximum Likelihood Kernel Methods

Résumé

This paper addresses the problem of unsupervised BER estimation for communication systems where no prior information about transmitted bits is available at the receiver. We introduce a new technique using kernel pdf estimation together with maximum likelihood-based smoothing parameter computation. Performance is evaluated in the case of CDMA and turbo codes. We show that the new technique provides good BER estimates even in the region of high SNR while it requires a few number of observations.
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Dates et versions

hal-00811754 , version 1 (11-04-2013)

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Jia Dong, Tarik Ait Idir, Samir Saoudi. Unsupervised Bit Error Rate Estimation Using Maximum Likelihood Kernel Methods. VTC 2012-Spring : IEEE 75th Vehicular Technology Conference, May 2012, Yokohama, Japan. ⟨10.1109/VETECS.2012.6240152⟩. ⟨hal-00811754⟩
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