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

Conference paper (2022)

Authors

Felix J. Yanovsky Atmospheric Remote Sensing - CEG , National Aviation University
Igor Prokopenko National Aviation University
Alexander Pitertsev National Aviation University
Huinam Rhee Sunchon National University
Anastasiia Dmytruk National Aviation University
Research Group
Atmospheric Remote Sensing (CEG) (TU Delft)
Copyright: © 2022 F. Ianovskyi, Igor Prokopenko, Alexander Pitertsev, Huinam Rhee, Anastasiia Dmytruk
DOI: https://doi.org/10.1109/MTTW56973.2022.9942539
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Published Date

2022

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Atmospheric Remote Sensing

Abstract

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.

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