Radar cross section analysis of unmanned aerial vehicles using predics
In this study, a quantitative radar cross section (RCS) analysis of different unmanned aerial vehicle (UAV) models were accomplished by means of a series of RCS simulations. The simulations were carried out by high-frequency RCS simulation and analysis tool called PREDICS. To quantify the RCS features of the UAV model, both the anglevariation and frequency-variation simulations for all polarization excitations were performed. The results of the simulations suggested that RCS values were dramatically varying with respect to look angle with some special angles providing the large values of RCS. Generally, the RCS values of the UAV model was increasing with frequency as expected. A quantitative radar detection range analyses were also accomplished to assess the visibility of both the military-type and civil-type UAV models. The outcome of these studies has suggested that large-size UAV model can be easily detected by a high-sensitive radar on the ranges of tens of kilometers while these numbers reduce to a few kilometers for a civilian UAV model that is much smaller than the its military counterpart.
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- Akar, A. (2017). Evaluation Of Accuracy of Dems Obtained From UAV-Point Clouds for Different Topographical Areas. International Journal of Engineering and Geosciences, 2 (3), 110-117.
- Ananenkov, A. E., Marin, D. V., Nuzhdin, V. M., Rastorguev V. V., and Sokolov, P. V. (2018) “Possibilities to Observe Small-Size UAVs in the Prospective Airfield Radar,” 2018 20th International Conference on Transparent Optical Networks (ICTON), Bucharest, 2018, pp. 1-6.
- Özdemir C., Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms (2012), John Wiley & Sons, March 2012, Hoboken, New Jersey, ISBN: 978-0-470- 28484-1.
- Özdemir, C., Yılmaz, B., and Kırık, Ö. (2014a), “PREDICS: A new GO-PO based ray launching simulator for the calculation of electromagnetic scattering and RCS from electrically large and complex structures,” Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 22, 1255 – 1269
- Özdemir, C., Yılmaz, B., Kırık, Ö., Sütcüoğlu, Ö. (2014b), “A Fast and Efficient RCS Calculation and ISAR Image Formation Tool: PREDICS”, 10th European Conference on Synthetic Aperture Radar (EUSAR 2014), Berlin.
- Pieraccini, M., Miccinesi, L. and Rojhani, N. (2017) “RCS measurements and ISAR images of small UAVs,” in IEEE Aerospace and Electronic Systems Magazine, vol. 32, no. 9, pp. 28-32, September 2017.
- Ryapolov, I., Sukharevsky O., and Vasilets, V. (2014) “Radar cross-section calculation for unmanned aerial vehicle,” 2014 International Conference on Mathematical Methods in Electromagnetic Theory, Dnipropetrovsk, pp. 258-261.
- Ulvı̇, A. Toprak, A. (2016). “Investigation Of ThreeDimensional Modelling Availability Taken Photograph Of The Unmanned Aerial Vehicle; Sample Of Kanlidivane Church.”, International Journal of Engineering and Geosciences, 1 (1), pp. 1-7.
- Ulvı̇, A. (2018). “Analysis of The Utility of the Unmanned Aerial Vehicle (UAV) in Volume Calculation by Using Photogrammetric Techniques.” International Journal of Engineering and Geosciences, 3 (2), pp. 43-49.
- Yayın Aralığı: Yılda 3 Sayı
- Başlangıç: 2016
- Yayıncı: Mersin Uüniversitesi