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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