Abstract
A technique for separate estimation of the realizations of discrete normal random signals belonging to different ensembles with the specified normalized correlation matrices and unknown intensities is considered. This technique uses the method of minimax estimates in terms of the theory of statistical decisions and its principles are applied to the problem of time resolution of the pulse signals with a random initial phase and intensity and under an arbitrary complex shift keying. An iterative procedure for finding the processing vector is proposed, which provides for minimizing the most unfavorable of the interfering effects. The results of the efficiency analysis of the pulsed phase-shift keyed (PSK) and amplitude phase-shift keyed (APSK) signals filtering using the proposed processing procedure are presented. #COMESYSO1120.
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This work was financially supported by the Ministry of Education and Science of the Russian Federation (research project No. FSWF-2020–0022).
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Chernoyarov, O., Ivanov, V., Golpaiegany, L., Golikov, A. (2023). Minimax Filtering of the Complex Code Shift Keyed Signals. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Application in Systems Design. CoMeSySo 2022. Lecture Notes in Networks and Systems, vol 596. Springer, Cham. https://doi.org/10.1007/978-3-031-21435-6_9
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