Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11913
Title: The Influence of Optical Turbulence on Closed-Loop Dircm Identification Performance
Authors: Işıklı, S.O.
Bor, E.
Yasa, U.G.
Keskin, M.Z.
Başaran, A.
Figen, Z.G.
Akgün, T.
Keywords: Closed-loop DIRCM
deep learning
deep neural network classifier
directed-infrared countermeasures
heat-seeking missiles
optical turbulence
Fighter aircraft
Gas turbines
Infrared devices
Light transmission
Radar countermeasures
Steam turbines
Closed-loop
Closed-loop DIRCM
Deep learning
Deep neural network classifier
Directed infrared countermeasures
Heat-seeking missiles
Neural networks classifiers
Open-loop
Optical turbulence
Performance
Missiles
Publisher: SPIE
Abstract: Heat-seeking missiles continue to be serious threats to aircrafts. In recent years, open-loop DIRCM systems have proven to be efficient countermeasures against these missiles. However, closed-loop DIRCM systems seem to be more promising as they employ a jamming code based on the classification or identification of an incoming missile through retro-reflection from the seeker head. In these systems, the retro-reflected beam is influenced by the optical turbulence in both transmission and return paths. In this paper, the influence of optical turbulence on the identification performance of a closed-loop DIRCM system is investigated. A dataset is created by varying the seeker spin and carrier frequencies along with the optical turbulence levels and range. Deep neural network classifiers were trained on this dataset and evaluated in terms of their effectiveness in identifying missile seekers with the DIRCM system. © 2024 SPIE.
Description: HGH Infrared Systems; Leonardo MW Ltd.; Photon Lines Ltd.; Pro-Lite Technology Ltd.; Thales; The Society of Photo-Optical Instrumentation Engineers (SPIE)
High-Power Lasers and Technologies for Optical Countermeasures II 2024 -- 16 September 2024 through 18 September 2024 -- Edinburgh -- 203767
URI: https://doi.org/10.1117/12.3031268
https://hdl.handle.net/20.500.11851/11913
ISBN: 978-151068110-1
ISSN: 0277-786X
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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