Robust Algorithm for Signal Digital Detection on the Background of Non-Gaussian Passive Interferences

Robust Algorithm for Signal Digital Detection on the Background of Non-Gaussian Passive Interferences

Ianovskyi, F. (TU Delft Atmospheric Remote Sensing; National Aviation University)
Prokopenko, Igor (National Aviation University)
Pitertsev, Alexander (National Aviation University)
Rhee, Huinam (Sunchon National University)
Dmytruk, Anastasiia (National Aviation University)

Kolosovs, Deniss (editor)

2022

This paper proposes generalized mathematical model of different passive interferences and develops an effective algorithm of digital signal processing for detection on the background of them. Models of interferences as random process of K-distribution is used with parametrization for the unwanted reflections from atmosphere, land, and sea. Robust algorithm for signal detection on the background of such interferences, in particular in case of non-gaussian distribution, is developed. Its effectiveness is researched and confirmed.

algorithm analysis
algorithm design
clutter
digital signal processing
radar detection
ranking

http://resolver.tudelft.nl/uuid:c8de2a2d-4349-4a93-927c-31c79501d91e

https://doi.org/10.1109/MTTW56973.2022.9942539

Institute of Electrical and Electronics Engineers (IEEE)

2023-07-01

9781665464390

Proceedings of 2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022

2022 Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2022, 2022-10-05 → 2022-10-07, Riga, Latvia

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2022 F. Ianovskyi, Igor Prokopenko, Alexander Pitertsev, Huinam Rhee, Anastasiia Dmytruk