<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Statistical Synthesis of Robust Signal Detection Algorithms under Conditions of Aprioristic Uncertainty

National Aviation University, Kosmonavta Komarova ave. 1, 03680, Kyiv, Ukraine

Cybernetics and Information Technologies

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....

Statistical Synthesis of Robust Signal Detection Algorithms under Conditions of Aprioristic Uncertainty

Online veröffentlicht: 19. Jan. 2016

Seitenbereich: 13 - 22

DOI: https://doi.org/10.1515/cait-2015-0085

Schlüsselwörter
Signal processing, aprioristic uncertainty, algorithm, robustness, radar signal, correlated noise, pulse interference

© 2015 I. G. Prokopenko, published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Statistical Synthesis of Robust Signal Detection Algorithms under Conditions of Aprioristic Uncertainty

Online veröffentlicht: 19. Jan. 2016

Seitenbereich: 13 - 22

DOI: https://doi.org/10.1515/cait-2015-0085

SchlüsselwörterSignal processing, aprioristic uncertainty, algorithm, robustness, radar signal, correlated noise, pulse interference

© 2015 I. G. Prokopenko, published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Signal processing, aprioristic uncertainty, algorithm, robustness, radar signal, correlated noise, pulse interference