Fast Simulation Method for Turbo Codes over Additive White Class A Noise Channel
This study shows a fast simulation method for turbo codes over an additive white class A noise (AWAN) channel. The reduction of the estimation time is achieved by applying importance sampling (IS) which is one of the variance reduction simulation methods. In order to adapt the AWAN channel, we propose a design method of a simulation probability density function (PDF) utilized in IS. The proposed simulation PDF is related to the Bhattacharyya bound to evaluate wider area of the signal space than the conventional method. Since the mean translation method, which is a conventional design method of the simulation PDF used in IS, is optimized for an additive white Gaussian noise channel, the evaluation time of the error performance of turbo codes over the AWAN channel can not be reduced. To evaluate BER of 10(-8), the simulation time of the proposed method can be reduced to 1/10(4) under the condition of the same accuracy of the traditional Monte Carlo simulation method.
turbo codes class a noise importance sampling simulation probability density function monte carlo simulation