Abstract: This paper investigates the loss of Turbo decoding performance in non-Gaussian impulsive noise with computer simulation, and proposes a new decoding algorithm for Turbo code by using Middleton's Class A impulsive noise model based on the statistical nature of the amplitude.The algorithm improves performance by modified extrinsic and channel information of traditional MAP to suit additive white Class A noise.Simulation results show that the proposed algorithm has better performance than traditional MAP algorithm in Class A noise.

Key words: MAP Algorithm, Turbo decoding, class A noise model, impulsive noise