DocumentCode :
393928
Title :
A low-power architecture for maximum a posteriori decoding
Author :
López-Vallejo, Marisa ; Mujtaba, Syed Aon ; Lee, Inkyu
Author_Institution :
ETSI Telecommunicacion, Univ. Politecnica de Madrid, Spain
Volume :
1
fYear :
2002
fDate :
3-6 Nov. 2002
Firstpage :
47
Abstract :
In this paper, we present a novel architecture for soft-input soft-output (SISO) maximum a posteriori (MAP) decoding. The architecture leverages an ASIP (application specific instruction-set processor) structure, where the datapath has been designed to achieve high-speed performance and low power dissipation. Salient features of this architecture include: (a) delayed renormalization of the /spl alpha/ metrics with register bypassing to reduce latency, (b) use of register files to minimize power dissipation, and (c) microprogrammed control to achieve flexibility. The resulting architecture for the SISO-MAP decoder achieves a maximum throughput of 10.9 Msymbols/second, operating at 142 MHz and dissipating 21 mW in the datapath.
Keywords :
application specific integrated circuits; codecs; computer architecture; digital signal processing chips; instruction sets; low-power electronics; maximum likelihood decoding; turbo codes; /spl alpha/ metrics; 142 MHz; 21 mW; ASIP structure; SISO-MAP decoding; application specific instruction-set processor; delayed renormalization; high-speed performance; low-power architecture; maximum a posteriori decoding; microprogrammed control; power dissipation; soft-input soft-output; turbo-decoding; Application specific processors; Bit error rate; Delay; Iterative decoding; Jacobian matrices; Power dissipation; Registers; Telecommunication standards; Throughput; Turbo codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-7576-9
Type :
conf
DOI :
10.1109/ACSSC.2002.1197147
Filename :
1197147
Link To Document :
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