Kernel method for Bit Error Rate Estimation
Résumé
This paper addresses the problem of Soft Bit Error Rate (BER) estimation for communication systems. We introduce a new technique using kernel probability density function (pdf) estimation together with Maximum Likelihood-based smoothing parameter computation. Performance is evaluated in the case of Turbo Codes, Code Division Multiple Access (CDMA) systems, and Low Density Parity Check (LDPC) codes. Compared to Monte Carlo method, 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