Abstract
In this contribution we present an improved index-based a-posteriori probability (APP) decoding approach for variable-length encoded packetized data, where implicit residual source correlation is exploited for error protection. The proposed algorithm is based on a novel generalized two-dimensional state representation which leads to a three-dimensional trellis with unique state transitions. APP decoding on this trellis is realized by employing a two-dimensional version of the classical BCJR algorithm. This new method has the advantage that due to the unique state representation all available a-priori information can be fully exploited, which especially holds for the transition probabilities of the Markov model associated with the variable-length encoded source indices. Simulation results for an additional error protection by channel codes and iterative joint source-channel decoding show that the proposed approach leads to an increased error-correction performance compared to previously published results where a one-dimensional state representation is used.
| Original language | English (US) |
|---|---|
| Pages | 2213-2217 |
| Number of pages | 5 |
| State | Published - 2003 |
| Externally published | Yes |
| Event | IEEE Global Telecommunications Conference GLOBECOM'03 - San Francisco, CA, United States Duration: Dec 1 2003 → Dec 5 2003 |
Other
| Other | IEEE Global Telecommunications Conference GLOBECOM'03 |
|---|---|
| Country/Territory | United States |
| City | San Francisco, CA |
| Period | 12/1/03 → 12/5/03 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Global and Planetary Change