A memory access decreased decoding scheme for double binary convolutional turbo code

Ming Zhan; Jun Wu; Liang Zhou; Zhenyu Zhou

doi:10.1587/transfun.E96.A.1812

A memory access decreased decoding scheme for double binary convolutional turbo code

Ming Zhan, Jun Wu, Liang Zhou, Zhenyu Zhou

Graduate School of Information, Production and Systems

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

To decrease memory access of the decoder for double binary convolutional turbo code (DB CTC), an iterative decoding scheme is proposed. Instead of accessing all of the backward state metrics from the state metric cache (SMC), a part of them is computed by the recalculation unit (RU) in the forward direction. By analysis and simulations, both the amount of memory access and the size of SMC are reduced by about 45%. Moreover, combined with the scaling technique, the proposed scheme gets decoding performance near to that of the well-known Log-MAP algorithm.

Original language	English
Pages (from-to)	1812-1816
Number of pages	5
Journal	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume	E96-A
Issue number	8
DOIs	https://doi.org/10.1587/transfun.E96.A.1812
Publication status	Published - 2013 Aug

Keywords

Backward state metrics
DB CTC
Recalculation
SMC

ASJC Scopus subject areas

Signal Processing
Computer Graphics and Computer-Aided Design
Electrical and Electronic Engineering
Applied Mathematics

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10.1587/transfun.E96.A.1812

Cite this

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AU - Wu, Jun

AU - Zhou, Liang

AU - Zhou, Zhenyu

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N2 - To decrease memory access of the decoder for double binary convolutional turbo code (DB CTC), an iterative decoding scheme is proposed. Instead of accessing all of the backward state metrics from the state metric cache (SMC), a part of them is computed by the recalculation unit (RU) in the forward direction. By analysis and simulations, both the amount of memory access and the size of SMC are reduced by about 45%. Moreover, combined with the scaling technique, the proposed scheme gets decoding performance near to that of the well-known Log-MAP algorithm.

AB - To decrease memory access of the decoder for double binary convolutional turbo code (DB CTC), an iterative decoding scheme is proposed. Instead of accessing all of the backward state metrics from the state metric cache (SMC), a part of them is computed by the recalculation unit (RU) in the forward direction. By analysis and simulations, both the amount of memory access and the size of SMC are reduced by about 45%. Moreover, combined with the scaling technique, the proposed scheme gets decoding performance near to that of the well-known Log-MAP algorithm.

KW - Backward state metrics

KW - DB CTC

KW - Recalculation

KW - SMC

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JF - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

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A memory access decreased decoding scheme for double binary convolutional turbo code

Abstract

Keywords

ASJC Scopus subject areas

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