Robust Algorithm for Signal Digital Detection on the Background of Non-Gaussian Passive Interferences
Felix J. Yanovsky (National Aviation University, TU Delft - Atmospheric Remote Sensing)
Igor Prokopenko (National Aviation University)
Alexander Pitertsev (National Aviation University)
Huinam Rhee (Sunchon National University)
Anastasiia Dmytruk (National Aviation University)
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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.