Work

Two step SOVA-based decoding algorithm for tailbiting codes

Year: 2009
Type: article
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.
Language: English
Open Access status: green
OpenAlex ID: W2147640366
FWCI: 1.112
Cites: 4
Cited by: 5
Related to: 10