2025/01/23 by Jorge Ortin, Paloma Garcia, Fernando Gutierrez +1 · 1 voice
Computer Science · #cs.IT #cs.NI
paper · pdf · doi:10.1109/lcomm.2009.090810
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.