radioelectronicsИзвестия высших учебных заведений России. РадиоэлектроникаJournal of the Russian Universities. Radioelectronics1993-89852658-4794Saint Petersburg Electrotechnical University10.32603/1993-8985-2023-26-3-90-98radioelectronics-763Research ArticleРАДИОЛОКАЦИЯ И РАДИОНАВИГАЦИЯRADAR AND NAVIGATIONA Target Threat Assessment Method for Application in Air Defense Command and Control SystemsA Target Threat Assessment Method for Application in Air Defense Command and Control SystemsNguyenXuan TruongNguyenXuan Truong

Xuan Truong Nguyen, Master's degree in "Radar  Engineering" (2013) of the Russian Federation Armed  Forces Army Air Defence Military Academy named after  Marshal of the Soviet Union A. M. Vasilevsky.  Postgraduate student, Researcher of Institute of System  Integration.

The  author of 5 scientific publications. Area of expertise:  radar and radio navigation; telecommunications.

236, Hoang  Quoc Viet, Hanoi

truongnx.isi@lqdtu.edu.vnPhungKim PhuongPhungKim Phuong

Kim Phuong Phung, Master's degree in "Computer  science " (2014) of the Military Academy of Air and  Space Defence named after Marshal of the Soviet Union  G. K. Zhukov. Postgraduate student, Lecturer of the  Department of Electronic Technologies of Institute of  System Integration.

The author of 3 scientific publications. Area of expertise:  electronic technology; computer science.

236, Hoang Quoc Viet, Hanoi

phuongpk.isi@lqdtu.edu.vnDangQuang HieuDangQuang Hieu

Dang Quang Hieu, PhD (2022), Senior Researcher of the  Institute of System Integration.

The author of 7 scientific publications. Area of expertise:  radar and radio navigation; telecommunications.

236, Hoang Quoc Viet, Hanoi

Hieudq@lqdtu.edu.vnHa VoXungHa VoXung

Xung Ha Vo, Master's degree in "Radar System  Engineering" (Le Quy Don Technical University (LQDTU), Vietnam, 2007), PhD student in "Radar Systems  Engineering". Head of System and Antenna  Design.

The author of 5 scientific publications. Area of expertise:  system engineering; radar data processing; control and  automation.

17, Hoang Sam Str. Cay Giay, Hanoi

voxungha@amst.edu.vnTien VuHoaTien VuHoa

Vu Hoa Tien, PhD in "Radio Electronica and Control  Automation" (2005), Associate Professor (2014), Visiting  Lecturer of Department of Aerospace Control Systems; a  specialist in systems engineering control and  automation.

Author of 57 publications. Area of expertise: systems  automatic control for UAV; electronic technology,  systems engineering.

236, Hoang Quoc Viet, Hanoi

hoatien57@lqtu.edu.vnLe Quy Don Technical UniversityViet NamNational Institute of Science and TechnologyViet Nam2023060720232639098Copyright © Nguyen X., Phung K., Dang Q., Ha Vo X., Tien Vu H., 20232023Nguyen X., Phung K., Dang Q., Ha Vo X., Tien Vu H.Nguyen X., Phung K., Dang Q., Ha Vo X., Tien Vu H.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://re.eltech.ru/jour/article/view/763

Introduction. This paper presents a solution for threat assessment of air targets using the fuzzy logic inference method. The approach is based on the Sugeno fuzzy model, which has multiple inputs representing target trajectory parameters and a single output representing the target threat value. A set of IF–THEN fuzzy inference rules, utilizing the AND operator, is developed to assess the input information.Aim. To develop and test an algorithm model to calculate the threat value of an air target for use in real-time automated command and control systems.Materials and methods. An algorithm model was developed using a fuzzy model to calculate the threat value of a target. The model is presented in the form of a flowchart supported by a detailed stepwise implementation process. The accuracy of the proposed algorithm was evaluated using the available toolkit in MATLAB. Additionally, a BATE software testbed was developed to assess the applicability of the algorithm model in a real-time automated command and control system.Results. The efficiency of the proposed fuzzy model was evaluated by its simulation and testing using MATLAB tools on a set of 10 target trajectories with different parameters. Additionally, the BATE software was utilized to test the model under various air defense scenarios. The proposed fuzzy model was found to be capable of efficiently computing the threat value of each target with respect to the protected object.Conclusion. The proposed fuzzy model can be applied when developing tactical supporting software modules for real-time air defense command and control systems.

Introduction. This paper presents a solution for threat assessment of air targets using the fuzzy logic inference method. The approach is based on the Sugeno fuzzy model, which has multiple inputs representing target trajectory parameters and a single output representing the target threat value. A set of IF–THEN fuzzy inference rules, utilizing the AND operator, is developed to assess the input information.Aim. To develop and test an algorithm model to calculate the threat value of an air target for use in real-time automated command and control systems.Materials and methods. An algorithm model was developed using a fuzzy model to calculate the threat value of a target. The model is presented in the form of a flowchart supported by a detailed stepwise implementation process. The accuracy of the proposed algorithm was evaluated using the available toolkit in MATLAB. Additionally, a BATE software testbed was developed to assess the applicability of the algorithm model in a real-time automated command and control system.Results. The efficiency of the proposed fuzzy model was evaluated by its simulation and testing using MATLAB tools on a set of 10 target trajectories with different parameters. Additionally, the BATE software was utilized to test the model under various air defense scenarios. The proposed fuzzy model was found to be capable of efficiently computing the threat value of each target with respect to the protected object.Conclusion. The proposed fuzzy model can be applied when developing tactical supporting software modules for real-time air defense command and control systems.

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The authors declare that there are no conflicts of interest present.