DocumentCode :
3777382
Title :
Joint probability-algebraic decoding for tail-biting codes used in LTE system
Author :
Jianping Li;Wan Li
Author_Institution :
School of Information Engineering, Communication University of China, CUC, Beijing, China
Volume :
1
fYear :
2015
Firstpage :
863
Lastpage :
866
Abstract :
Tail-biting codes are the main control channel coding form for the LTE system. The WAVA algorithm is one of the widely used as the decoding algorithm of tail-biting codes. To fully make use of the information on the algebra structure of the tail-biting codes, we combined the WAVA algorithm with the algebraic decoding, and proposed a new joint probability-algebraic decoding algorithm. Simulation results show that, compared with the single probability decoding, the new algorithm has better performance on the error correction.
Keywords :
"Maximum likelihood decoding","Convolutional codes","Long Term Evolution","Viterbi algorithm","Encoding","Convolution"
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on
Type :
conf
DOI :
10.1109/ICCSNT.2015.7490877
Filename :
7490877
Link To Document :
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