Application of Cumulant Method In Performance Evaluation of Turbo-Like Codes

In this article, a new method for performance evaluation of Turbo-like codes is presented. This is based on estimating the Probability Density Function (pdf) of the bit Log-Likelihood-Ratio (LLR) using higher order statistics. We do not restrict ourselves to any specific model for the pdf and try to estimate it directly using a Cumulant matching method. Numerical results show a close agreement between the proposed method and simulations. The complexity of this method is similar to the Monte-Carlo simulation with the advantage of providing similar accuracy using significantly fewer samples.

• Type: Conference
• Year: 2007
• Where: ICC
• Authors: Ali Abedi, Mary E. Thompson, Amir K. Khandani
• Keywords: Communications, Cumulant Matching Method, ICC 2007, Probability Density Function, Turbo-like Codes