Optimized Double Correction Factor Approach for Reducing the Bit Error Rate in Additive White Gaussian Noise and Rayleigh Fading Channel

摘要

An improved method to enhance the error correcting performance of Max-Log-MAP (MLMAP) turbo decoding algorithm based on optimized and adaptive correction factors are presented in this paper. In this proposed method, Optimized Double Correction Factor (ODCF) is employed for both innerand outer decoders to overcome the over-optimistic estimation of reliability values of extrinsic information. The ODCF scales the extrinsic information exchanged in every iteration between the constituent decoders. The selection of Correction Factor (CF) of both inner and outer decoders dependon the key parameter Signal to Noise Ratio (SNR), which minimizes Bit Error Rate (BER), for improving the performance of MLMAP algorithm. The BER values obtained by the combination of proposed ODCF with MLMAP (ODCF-MLMAP) algorithm is better than the existing MLMAP algorithm. This paper alsoproves the dependency of proposed ODCF on SNR. The proposed ODCF-MLMAP algorithm is employed for Additive White Gaussian Noise (AWGN) channel and Rayleigh fading channel, and the obtained results prove its superiority.