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.