Name
Abstract | ||
|---|---|---|
A decoding system comprising of a turbo decoder and a burst detector is proposed for a two-state, additive white Gaussian noise, Markov channel in which one state represents a good state with high Eb/N0 and the other state represents a bad state or burst state with low Eb/N0. As the Gaussian noise model allows soft information from the channel to be used, it enables an improved performance over the commonly used binary-input/binary-output channel model. In the proposed decoding structure, the burst detector is employed to estimate the probability of each channel state and pass it on to the turbo decoder, so that this extra information assists the turbo decoder to perform a more effective decision for each received symbol by adjusting the likelihood function property in accordance with the channel states. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/GLOCOM.2002.1188140 | GLOBECOM |
Keywords | Field | DocType |
decoding,likelihood function,awgn,gaussian noise,channel coding,markov processes,signal detection,additive white gaussian noise,turbo codes,probability | Binary symmetric channel,Sequential decoding,Computer science,Serial concatenated convolutional codes,Turbo code,Algorithm,Real-time computing,Speech recognition,Turbo equalizer,Decoding methods,Gaussian noise,Additive white Gaussian noise | Conference |
Volume | ISSN | ISBN |
1 | 1930-529X | 0-7803-7632-3 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pisit Vanichchanunt | 1 | 5 | 3.13 |
| Lunchakorn Wuttisittikulkij | 2 | 58 | 10.33 |
| Suvit Nakpeerayuth | 3 | 5 | 3.47 |