Title: Two step SOVA-based decoding algorithm for tailbiting codes
Abstract: In this work we propose a novel decoding algorithm for tailbiting convolutional codes and evaluate its performance over different channels. The proposed method consists on a fixed two-step Viterbi decoding of the received data. In the first step, an estimation of the most likely state is performed based on a SOVA decoding. The second step consists of a conventional Viterbi decoding that employs the state estimated in the previous step as the initial and final states of the trellis. Simulations results show a performance close to that of maximum-likelihood decoding.
Publication Year: 2009
Publication Date: 2009-07-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 5
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