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

Jun WU
Liang ZHOU
Zhenyu ZHOU

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E96-A    No.8    pp.1812-1816
Publication Date: 2013/08/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E96.A.1812
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Coding Theory
backward state metrics,  DB CTC,  recalculation,  SMC,  

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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.