Adaptive SNR estimation algorithms for decoding block turbo codes

Abstract

Purpose

The purpose of this paper is to propose a novel decoding algorithm, to decrease the complexity in decoding conventional block turbo codes.

Design/methodology/approach

In this algorithm, the signal‐to‐noise ratio (SNR) values of channels are adaptively estimated. After analyzing the relationship between the statistics of the received vectors R and the channel SNR, an adaptive method of tuning the decoding complexity is presented.

Findings

Simulation results show that the proposed algorithm has greatly decreased the decoding complexity and sped up the decoding process while achieving better bit error rate performance.

Originality/value

Simulation experiments described in this paper show that the proposed algorithm can decrease the decoding complexity, shorten the decoding time and achieve good decoding performance.

Citation

Wang, K., Liu, X. and Cull, P. (2010), "Adaptive SNR estimation algorithms for decoding block turbo codes", Kybernetes, Vol. 39 No. 8, pp. 1298-1304. https://doi.org/10.1108/03684921011063583