DocumentCode
2126965
Title
A low power turbo decoder architecture
Author
Elassal, Mahmoud ; Bayoumi, M.
Author_Institution
Center for Adv. Comput. Studies, Univ. of Louisiana at Lafayette, LA, USA
fYear
2003
fDate
27-29 Aug. 2003
Firstpage
105
Lastpage
110
Abstract
A new method is proposed to decrease the power consumption of turbo decoders. Turbo decoders iteratively decode the received sequence by exchanging extrinsic information. In the proposed method, the exchange of extrinsic information that exceeds a certain threshold is terminated and, instead, a predefined value is exchanged. This method enables reduction of memory accesses to both the interleaver memory and state metric memory, hence reducting power consumption. Simulation and synthesis results shows up to 25% reduction of power consumption at Eb/NO of 1.5 dB, compared to the conventional state parallel architecture.
Keywords
convolutional codes; interleaved codes; iterative decoding; power consumption; turbo codes; extrinsic information; interleaved convolutional codes; interleaver memory; iterative decoding; low power turbo decoder architecture; memory accesses; power consumption; state metric memory; turbo codes; Computer architecture; Convolutional codes; Energy consumption; Iterative decoding; Maximum likelihood decoding; Parallel architectures; Performance analysis; Termination of employment; Transceivers; Turbo codes;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems, 2003. SIPS 2003. IEEE Workshop on
ISSN
1520-6130
Print_ISBN
0-7803-7795-8
Type
conf
DOI
10.1109/SIPS.2003.1235652
Filename
1235652
Link To Document