DocumentCode
2554005
Title
CMOS analog iterative decoders using margin propagation circuits
Author
Chakrabartty, Shantanu
Author_Institution
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI
fYear
2006
fDate
21-24 May 2006
Lastpage
5006
Abstract
Analog iterative decoders offer several advantages over their digital counterparts in terms of speed and power consumption. The current state of art CMOS analog decoders uses MOS transistors biased in weak inversion which limits their speed of operation. In this paper a novel analog decoding network is presented which can operate with MOS transistor biased both in weak and strong inversion. The principle of operation is based on margin propagation algorithm which requires only addition, subtraction and thresholding operation which can be easily implemented in analog VLSI. A current mode implementation of the decoder is proposed which operates directly in log-likelihood space. This not only improves the speed of convergence for iterative decoding but also enhances the dynamic range of the decoder. Simulation based on a simple tail-biting trellis is presented that demonstrate the decoding characteristic and speed of operation of the proposed margin propagation network
Keywords
CMOS analogue integrated circuits; VLSI; current-mode circuits; iterative decoding; mathematical operators; CMOS analog decoders; MOS transistors; addition operation; analog VLSI; analog decoding network; current mode; iterative decoders; log-likelihood space; margin propagation algorithm; subtraction operation; tail-biting trellis; thresholding operation; Art; CMOS analog integrated circuits; Computational modeling; Convergence; Dynamic range; Iterative algorithms; Iterative decoding; MOSFETs; Parity check codes; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location
Island of Kos
Print_ISBN
0-7803-9389-9
Type
conf
DOI
10.1109/ISCAS.2006.1693755
Filename
1693755
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