DocumentCode :
3541269
Title :
Area and power efficient trellis computational blocks in 0.13μm CMOS
Author :
Kamuf, Matthias ; Öwall, Viktor ; Anderson, John B.
Author_Institution :
Dept. of Electroscience, Lund Inst. of Technol., Sweden
fYear :
2005
fDate :
23-26 May 2005
Firstpage :
344
Abstract :
Improved add-compare-select and branch metric units are presented to reduce the complexity in the implementation of trellis-based decoding architectures. These units use a complementary property of the best rate 1/2 convolutional codes to reduce both area requirements and power consumption in a silicon implementation with no loss in decoding performance. For a 0.13μm CMOS process, synthesized computational blocks for decoders that can process codes from memory 2 up to 7 show up to 17% savings in both cell area and power consumption.
Keywords :
CMOS integrated circuits; channel coding; convolutional codes; decoding; power consumption; silicon; trellis codes; 0.13 micron; CMOS process; add-compare-select unit; branch metric unit; cell area; complementary property; power consumption; rate 1/2 convolutional codes; reduced complexity; silicon implementation; trellis computational blocks; trellis-based decoding architectures; Additive white noise; CMOS process; Computer architecture; Convolutional codes; Decoding; Energy consumption; Information technology; Performance loss; Silicon; Viterbi algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
Type :
conf
DOI :
10.1109/ISCAS.2005.1464595
Filename :
1464595
Link To Document :
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