Developing a technology for modeling radar portraits of complex-shape objects for intelligent recognition systems
DOI:
https://doi.org/10.15587/1729-4061.2024.305623Keywords:
radar signal, radar portraits of targets, intelligent recognition, facet models, noisesAbstract
The object of this study is the modeling of radar portraits (RPs) for intelligent recognition systems based on the use of faceted 3D models. In order to solve the problems of target identification in homing systems of high-precision missile weapons, a technology is needed that could make it possible to efficiently and quickly generate RPs of military objects of complex shape in the required quantity.
The research results are based on a combination of separate component technologies, in particular: the devised technology of using faceted 3D models – their construction and further processing with invisible surfaces excluded from it for an arbitrary viewing angle. The basic part of the work is the development of an algorithm and technological procedures for the formation of a spatial tracing grid for the current observation angle. A feature of the proposed technology is the application of a facet selection algorithm using an array of tracing facets and the application of the Huygens-Fresnel principle to recognize objects of complex shape.
The RP database of military objects of complex shape was built. The results of modeling faceted RP’s, in particular the armored boat "Gyurza-M", are given.
The results of the experimental study showed the ability to recognize the type of military object of complex shape at the level of 80‒90 %, which makes the use of this technology appropriate for recognizing military objects of complex shape.
The achieved high-speed and quality characteristics of RP generation of military objects of a complex shape makes it possible to assume that the main prospective field of practical application is the identification and visual interpretation of targets in homing systems of high-precision missile weapons
References
- Hwang, J.-T., Hong, S.-Y., Song, J.-H., Kwon, H.-W. (2015). Radar Cross Section Analysis Using Physical Optics and Its Applications to Marine Targets. Journal of Applied Mathematics and Physics, 03 (02), 166–171. https://doi.org/10.4236/jamp.2015.32026
- Thomet, A., Kubicke, G., Bourlier, C., Pouliguen, P. (2014). Improvement of iterative physical optics using the physical optics shadow radiation. Progress In Electromagnetics Research M, 38, 1–13. https://doi.org/10.2528/pierm14021202
- Shah, M. A., Tokgoz, C., Salau, B. A. (2022). Radar Cross Section Prediction Using Iterative Physical Optics With Physical Theory of Diffraction. IEEE Transactions on Antennas and Propagation, 70 (6), 4683–4690. https://doi.org/10.1109/tap.2021.3137202
- Skolnik, M. I. (2008). Radar Handbook. Boston: McGrow-Hill, 1350.
- Shirman, Y. D. (2002). Computer Simulation of Aerial Target Radar Scattering, Recognition, Detection, and Tracking. Artech House, 294.
- Bakshi, N., Shivani, S., Tiwari, S., Khurana, M. (2020). Optimized Z-Buffer Using Divide and Conquer. Innovations in Computational Intelligence and Computer Vision, 41–47. https://doi.org/10.1007/978-981-15-6067-5_6
- Li, C., Kuai, X., He, B., Zhao, Z., Lin, H., Zhu, W. et al. (2023). Visibility-Based R-Tree Spatial Index for Consistent Visualization in Indoor and Outdoor Scenes. ISPRS International Journal of Geo-Information, 12 (12), 498. https://doi.org/10.3390/ijgi12120498
- Lee, G. B., Jeong, M., Seok, Y., Lee, S. (2021). Hierarchical Raster Occlusion Culling. Computer Graphics Forum, 40 (2), 489–495. https://doi.org/10.1111/cgf.142649
- Dong, C., Guo, L., Meng, X., Li, H. (2022). An Improved GO-PO/PTD Hybrid Method for EM Scattering From Electrically Large Complex Targets. IEEE Transactions on Antennas and Propagation, 70 (12), 12130–12138. https://doi.org/10.1109/tap.2022.3209195
- Yun, Z., Iskander, M. F. (2015). Ray Tracing for Radio Propagation Modeling: Principles and Applications. IEEE Access, 3, 1089–1100. https://doi.org/10.1109/access.2015.2453991
- LV, J., Wang, Y., Huang, J., Li, Y., Huang, J., Wang, C.-X. (2022). An Improved Triangular Facets based Angular Z-Buffer Algorithm for IM Ray Tracing Channel Modeling. 2022 IEEE/CIC International Conference on Communications in China (ICCC). https://doi.org/10.1109/iccc55456.2022.9880630
- Degli-Esposti, V. (2014). Ray Tracing propagation modelling: Future prospects. The 8th European Conference on Antennas and Propagation (EuCAP 2014). https://doi.org/10.1109/eucap.2014.6902256
- Merdok, K. (2012). 3ds Max 2012. Bibliya pol'zovatelya 3ds Max 2012 Bible. Moscow: «Dialektika», 1312.
- Bittner, J., Wonka, P. (2003). Visibility in Computer Graphics. Environment and Planning B: Planning and Design, 30 (5), 729–755. https://doi.org/10.1068/b2957
- Wang, J.-K., Zhang, M., Chen, J.-L., Cai, Z. (2016). Application of facet scattering model in sar imaging of sea surface waves with kelvin wake. Progress In Electromagnetics Research B, 67, 107–120. https://doi.org/10.2528/pierb16022804
- Persson, B. (2017). Radar Target Modeling Using In-Flight Radar Cross-Section Measurements. Journal of Aircraft, 54 (1), 284–291. https://doi.org/10.2514/1.c033932
- Wavefront OBJ File Format. Available at: https://www.loc.gov/preservation/digital/formats/fdd/fdd000507.shtml
- Object Files (.obj). Available at: http://fegemo.github.io/cefet-cg/attachments/obj-spec.pdf
- Light, B., Burgess, J., Duguay, S. (2016). The walkthrough method: An approach to the study of apps. New Media & Society, 20 (3), 881–900. https://doi.org/10.1177/1461444816675438
- Zaker, R., Sadeghzadeh, A. (2020). Passive techniques for target radar cross section reduction: A comprehensive review. International Journal of RF and Microwave Computer-Aided Engineering, 30 (11). https://doi.org/10.1002/mmce.22411
- Chung, S.-S. M., Chou, Y.-H., Chuang, Y.-C. (2016). Radar Cross Section Analysis of Stealth Fighter Design: Key Factors and Limitations of Simulation. International Journal of Electrical Engineering, 23 (6), 201–214. https://doi.org/10.6329/ciee.2016.6.02
- Mahafza, B. R. (2005). Radar Systems Analysis and Design Using MATLAB. Chapman and Hall/CRC. https://doi.org/10.1201/9781420057072
- Xu, X., Bi, D., Pan, J. (2021). Method for functional state recognition of multifunction radars based on recurrent neural networks. IET Radar, Sonar & Navigation, 15 (7), 724–732. https://doi.org/10.1049/rsn2.12075
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Mykola Komar, Artem Sieriebriakov, Roman Tymchyshyn, Serhii Bondar
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.