A Memory Access Decreased Decoding Scheme for Double Binary Convolutional Turbo Code

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概要

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• 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.

著者

• ZHOU Zhenyu

  School of Electrical and Electronic Engineering, North China Electricity Power University

• ZHOU Liang

  National Key Laboratory of Communications, University of Electronic Science and Technology of China

• ZHOU Liang

  National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China

• WU Jun

  Global Information and Telecommunication Institute, Waseda University

• ZHAN Ming

  School of Electronics and Information Engineering, Southwest University

関連論文

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