DocumentCode
2245482
Title
Pipelined Parallel Architectures for High Throughput Turbo Decoding
Author
Lou, Xizhong ; Chen, Yanmin
Author_Institution
Coll. of Inf. Eng., China Jiliang Univ., Hangzhou
fYear
2006
fDate
4-7 Dec. 2006
Firstpage
1116
Lastpage
1119
Abstract
A new pipelined parallel architecture for turbo decoding is presented. It runs at nearly four times the speed of the traditional architecture with tolerable hardware resource increasing. The bottleneck in turbo decoder is the add-compare-select-offset (ACSO) unit used in forward and backward recursive state metrics (FRSM, BRSM) calculation. In the new architecture the critical path in ACSO unit is divided into four shorter evenly parts by inserting four register vectors, which improves the working frequency of the turbo decoder. And the sliding window architecture is modified to make use of the new ACSO unit. At the same time, the received symbol sequence is divided into four evenly pieces, that are fed into the same ACSO unit one after another to form the pipeline. Then the speed of turbo decoder will be approximately four times as the old one
Keywords
decoding; parallel architectures; pipeline arithmetic; turbo codes; Log-MAP algorithm; add-compare-select-offset unit; backward recursive state metrics; forward recursive state metrics; high throughput turbo decoding; pipelined parallel architectures; sliding window MAP algorithm; Computer architecture; Convolutional codes; Educational institutions; Frequency conversion; Hardware; Iterative decoding; Parallel architectures; Pipelines; Throughput; Turbo codes; ACSO unit; Log-MAP algorithm; Turbo coding; sliding window MAP algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2006. APCCAS 2006. IEEE Asia Pacific Conference on
Conference_Location
Singapore
Print_ISBN
1-4244-0387-1
Type
conf
DOI
10.1109/APCCAS.2006.342317
Filename
4145593
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