Name
Abstract | ||
|---|---|---|
We consider digital communications over channels impaired by impulse noise. A two-state Markov channel model is adopted, which, unlike the memoryless models generally considered in the literature, allows to describe the typical bursty nature of the impulse noise. First, by means of information-theoretical arguments, we compute and discuss the ultimate performance limits of such systems. Then, we derive an algorithm for optimal maximum-a-posteriori symbol detection, and explain how to exploit it in receivers employing iterative detection/decoding. Finally, we report simulation results showing the effectiveness of the proposed schemes, as well as an excellent agreement with the computed theoretical limits. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICC.2008.188 | Beijing |
Keywords | Field | DocType |
Gaussian channels,Markov processes,channel coding,impulse noise,iterative decoding,maximum likelihood detection,Markovian-Gaussian channels,digital communications,impulse noise,information-theoretical arguments,iterative decoding,iterative detection,optimal maximum-a-posteriori symbol detection,two-state Markov channel model | Markov process,Computer science,Communication channel,Algorithm,Theoretical computer science,Real-time computing,Exploit,Impulse noise,Decoding methods,Gaussian noise,Additive white Gaussian noise,Detector | Conference |
ISSN | ISBN | Citations |
1550-3607 | 978-1-4244-2075-9 | 1 |
PageRank | References | Authors |
0.39 | 11 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dario Fertonani | 1 | 273 | 20.07 |
| Giulio Colavolpe | 2 | 801 | 68.60 |