Log-likelihood values and Monte Carlo simulation - some fundamental results

摘要: The purpose of this paper is twofold: We derive some fundamental properties log-likelihood ratio (LLR) values and propose two novel “soft-decision” Monte Carlo simulation techniques based on probabilities or LLR values. Specifically, we prove that the pdf exponential symmetric demonstrate soft-decision outperforms conventional bit error rate simulations with respect to accuracy and/or time.