Research Article
Adaptive SNR estimation based decoding algorithm for block turbo codes
@INPROCEEDINGS{10.1109/CHINACOM.2009.5339711, author={Xingcheng Liu and Kang Wang}, title={Adaptive SNR estimation based decoding algorithm for block turbo codes}, proceedings={4th International ICST Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2009}, month={11}, keywords={bit error rate (BER); block Turbo codes (BTC); Chase algorithm; iterative decoding; signal-to-noise ratio (SNR)}, doi={10.1109/CHINACOM.2009.5339711} }- Xingcheng Liu
Kang Wang
Year: 2009
Adaptive SNR estimation based decoding algorithm for block turbo codes
CHINACOM
IEEE
DOI: 10.1109/CHINACOM.2009.5339711
Abstract
The SNR values in conventional turbo decoding with the adaptive chase algorithm are pre-fixed, which is not practical in applications. To get rid of the deficiency, a novel decoding algorithm for block turbo codes was proposed, in which the channel levels of different SNR values were adaptively estimated. The proposed algorithm could tune the decoding complexity by using the relationship between the statistics of the received vectors and the channel SNR values in order to change the threshold function. Simulation results show that the proposed algorithm decreases the decoding complexity, speeds up the decoding process while achieving better BER performance. Furthermore, the proposed decoding algorithm can adapt to different SNR values without pre-fixing them.
