Name
Abstract | ||
|---|---|---|
Estimation of the received signal amplitude is critical to the optimization of the performance of detectors for data communication systems operating in the presence of impulse-like interference. A binary data communication system in the presence of Laplace noise is considered. Maximum likelihood estimators are derived for both data-aided and non- data-aided cases. A ML-based non-data-aided absolute median estimator with simpler implementation is also proposed. The performances of the proposed estimators are examined and compared to the well-known mean estimator and absolute moment estimator in terms of their mean- squared errors. Numerical results quantify the superiority of the optimal ML estimators over the conventional estimators. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/GLOCOM.2010.5683221 | Global Telecommunications Conference |
Keywords | DocType | ISSN |
data communication,impulse noise,maximum likelihood estimation,mean square error methods,optimisation,signal detection,Laplace noise,ML estimation,binary data communication system,impulse-like interference,maximum likelihood estimators,mean-squared errors,optimization,received signal amplitude | Conference | 1930-529X E-ISBN : 978-1-4244-5637-6 |
ISBN | Citations | PageRank |
978-1-4244-5637-6 | 5 | 0.51 |
References | Authors | |
11 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Norman C. Beaulieu | 1 | 2372 | 285.49 |
| Sijing Jiang | 2 | 8 | 0.97 |