Adaptive SNR estimation algorithms for decoding block turbo codes
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.
codes cybernetics programming and algorithm theory iterative methods error analysis signal processing