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| A Novel Hybrid Decoding Algorithm for Convolutional Codes |
| Yang Fan①; Luo Zhen-dong②; Tian Bao-yu① |
| ①School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;②Institute of Communication Standards Research China Academy of Telecommunication Research of Ministry of Information Industy (MII), Beijing 100045, China |
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Abstract A concatenated hybrid decoding algorithm for convolutional codes is presented. The algorithm is complemented by using two-stage decoding, where the first stage uses the Belief-Propagation (BP) algorithm, while the second stage uses the Modified Viterbi Decoding (MVD) algorithm. Firstly, the received sequence is pre-decoded by BP, and its outputs are divided into two groups which are reliable Log-Likelihood Ratios (LLRs) and unreliable LLRs. The hard decision symbols corresponding to reliable LLRs and the parts of received symbols corresponding to unreliable LLRs are formed a hybrid sequence, which is further corrected by MVD. Simulation shows that compared with the conventional Viterbi decoding algorithm, the proposed algorithm has a little performance deterioration with much lower average complexity at moderate-to-high signal to noise ratio.
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Received: 09 August 2008
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2009, Vol. 31 
