DocumentCode :
312389
Title :
A new architecture for low power analogue convolutional decoders
Author :
Demosthenous, Andreas ; Verdier, Céline ; Taylor, John
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. Coll. London, UK
Volume :
1
fYear :
1997
fDate :
9-12 Jun 1997
Firstpage :
37
Abstract :
A new architecture for convolutional decoding, the modified feedback decoding algorithm (MFDA), is presented. For the specific codes considered, its error-correction performance compares very favourably to the truncated Viterbi algorithm (VA) but it requires less hardware. The realisation of its primary subsystem, an add-compare-select (ACS) circuit, is presented which can also be employed in analogue/digital realisations of the VA. Preliminary results indicate the switched-current ACS circuit described is faster, more compact, and uses less power than a digital ACS unit designed for the same level of resolution
Keywords :
analogue processing circuits; circuit feedback; convolutional codes; decoding; error correction codes; switched current circuits; add-compare-select circuit; analogue convolutional decoders; analogue/digital realisations; error-correction performance; modified feedback decoding algorithm; primary subsystem; switched-current ACS circuit; Circuits; Convolutional codes; Decoding; Error correction; Feedback; Hardware; Magnetic noise; Power generation economics; Viterbi algorithm; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN :
0-7803-3583-X
Type :
conf
DOI :
10.1109/ISCAS.1997.608512
Filename :
608512
Link To Document :
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