BER and PER estimation based on Soft Output decoding

Abstract— A novel PER estimation method based on the Log Likelihood Ratios of a soft output decoder is proposed. Classically, PER estimation based on soft output decoding depends on an estimate of the SNR. The contribution of this paper is a PER estimate that is not biased by such SNR estimation uncertainty. We compare the proposed estimation method with the estimator proposed by Hoher first by analytic expression of the estimator’s bias for uncoded BPSK modulation transmitted over an AWGN channel. The study is extended to OFDM coded transmission by simulation means. A novel PER estimation method based on the Log Likelihood Ratios of a soft output decoder is proposed. Classically, PER estimation based on soft output decoding depends on an estimate of the SNR. The contribution of this paper is a PER estimate that is not biased by such SNR estimation uncertainty. We compare the proposed estimation method with the estimator proposed by Hoher first by analytic expression of the estimator’s bias for uncoded BPSK modulation transmitted over an AWGN channel. The study is extended to OFDM coded transmission by simulation means.