Statistical Synthesis of Robust Signal Detection Algorithms under Conditions of Aprioristic Uncertainty
| 19. Jan. 2016
Cybernetics and Information Technologies
Special Issue on Information Fusion
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Online veröffentlicht: 19. Jan. 2016
Seitenbereich: 13 - 22
DOI: https://doi.org/10.1515/cait-2015-0085
Schlüsselwörter
© 2015 I. G. Prokopenko, published by De Gruyter Open
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
The paper deals with the problem of synthesis of a robust detection algorithm for a harmonic signal on the background of correlated noise and impulse noise. The problem is solved using the empirical Bayes approach and the Tukey model of “pollution”. The efficiency of the algorithm is investigated by the Monte-Carlo method.