Title :
An improved Log-MAP decoding algorithm
Author :
Wang Xiao-ming ; Quan Hou-de ; Zhang Chi
Author_Institution :
Dept. of Opt. & Electron. Eng., Ordnance Eng. Coll. of P.L.A., Shijiazhuang, China
Abstract :
This paper mainly discusses the time-delay problem of Turbo decoding algorithm, and an improved Log-MAP decoding algorithm is proposed. This algorithm reduces the amount of computation of the whole decoding process by introducing a matrix named Matrix to reduce the repeated numerical computation in the process of the iterative decoding. The improved algorithm is simulated and compared the complexity with Log-MAP algorithm. The result of simulation shows that the improved algorithm obtains a same bit error performance to the Log-MAP algorithm, it also reduces the complexity of the algorithm and speeds up the decoding process, reduces the time-delay greatly.
Keywords :
communication complexity; delays; error statistics; iterative decoding; turbo codes; Log-MAP decoding algorithm; Matrix; algorithm complexity reduction; bit error performance; iterative decoding; numerical computation reduction; time-delay problem; turbo decoding algorithm; Algorithm design and analysis; Communication systems; Complexity theory; Decoding; Delay; Iterative decoding; Turbo codes; Turbo Log-MAP complexity decoding delay;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
DOI :
10.1109/ITAIC.2011.6030308