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