Abstract
With the rapid development of air-to-air missile and avionics technology, beyond visual range air combat has become the major form of fighting. As an important role in autonomous decision making and situation awareness, threat assessment in BVR air combat has attracted great interest. However, due to the lack of intention and event threat factors, the traditional model does not fully consider the threat of air combat, which leads threat assessment results inaccurate. Therefore, this paper proposes a BVR integrated threat assessment method for air combat introducing target intention and event. Firstly, the event characteristics of BVR air combat are analyzed, and the threat assessment function of events is constructed. Then, the BVR air combat threat assessment model is established based on target intention, event, situation, and capability threat. On this basis, combined with the characteristics of BVR air combat, missile event correction factor is proposed to modify the threat value of missile events. And comprehensive index method is used to evaluate the target air combat capability. Finally, we use the grey relevance analysis algorithm to verify the effectiveness of the BVR air combat threat assessment method proposed in this paper. The result shows that compared with traditional models, this model can comprehensively utilize battlefield situation information. And the target threat assessment results are more accurate and reliable.
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References
Osner, N.R., du Plessis, W.P.: Threat evaluation and jamming allocation. IET Radar Sonar Navig. 11(3), 459–465 (2017)
Azimirad, E., Haddadnia, J.: Target threat assessment using fuzzy sets theory. Int. J. Adv. Intell. Inform. 1(2), 57–74 (2015)
Chen, X., Qiao, Y.: UAV target threat assessment based on wavelet neural network. J. Fire and Command Control 43(08), 66–69+74 (2018)
Xi, Z., Xu, A., Kou, Y.: Target threat assessment in air combat based on PCA-MPSO-ELM algorithm. J. ACTA Aeronauticaet Astronautica Sinica 41(9), 323895 (2020)
Peng, M., Li, Z., Yang, A., Xi, Z., Fang, C.: Air combat threat assessment based on ICA-TOPSIS method. J. Detect. Control 43(05), 113–121 (2021)
Xi, Z., Xu, A., Kou, Y., Li, Z., Yang, A.: Threat assessment of air combat targets based on prospect theory. J. Ordnance Eng. 41(06), 1236–1248 (2020)
Xi, Z., Xu, A., Kou, Y.: Threat assessment of air combat targets based on grey principal component. J. Syst. Eng. Electr. Technol. 43(01), 147–155 (2021)
Fang, C., Kou, Y., Xu, A.: VIKOR air combat threat assessment based on AHP-CRITIC combination empowerment. J. Electro-Optics and Control 28(02), 24–28 (2021)
Yang, A., Li, Z., Xu, A.: Threat assessment of air combat targets based on RS-CRITIC. J. Beijing Univ. Aeronaut. Astronaut. 46(12), 2357–2365 (2020)
Xiao, B., Fang, Y., Hu, S.: A new threat assessment method for beyond visual range combat. J. Syst. Eng. Electr. Technol. 31(09), 2163–2166 (2009)
Hu, Z., Lv, Y., Xu, A.: Threat assessment method of beyond line of sight target based on situation prediction. J. Electr. Opt. Control 27(03), 8–12+26 (2020)
Wu, W., Zhou, S., Gao, L., Liu, J.: Improvements of situation assessment for beyond-visual-range air combat based on missile launching envelope analysis. J. Syst. Eng. Electr. 33(12), 2679–2685 (2011)
Yang, A., Li, Z., Li, B., Xi, Z., Gao, C.: Air combat situation assessment based on dynamic variable weight. J. Acta Armamentarii 42(7), 1553–1563 (2021)
Hu, Z., Lu, Y., Xu, A.: Threat assessment method for over-the-horizon targets based on situational prediction. J. Electro-optics and Control 38(04), 87–94 (2020)
Fang, Z., Wu, L., Fang, S., Wang, C.: Maximum entropy configuration model of objective index weight based on grey category characteristics difference. J. Syst. Eng. Theor. Pract. 34(8), 2065–2070 (2014)
Yan, S., Liu, S., Fang, Z., Wu, L.: Method of determining weights of decision makers and attributes for group decision making with interval grey numbers. J. Syst. Eng. Theor. Pract. 34(9), 2372–2378 (2014)
Teng, F., Liu, S., Song, Y.: BiLSTM-attention: an air target tactical intention recognition model. J. Aero Weaponry 28(5), 24–32 (2021)
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Wang, X., Yang, Z., Li, X., Piao, H., Huang, J., Zhou, D. (2023). A Beyond Visual Range Air Combat Integrated Threat Assessment Method Based on Target Intention and Event. In: Yan, L., Duan, H., Deng, Y. (eds) Advances in Guidance, Navigation and Control. ICGNC 2022. Lecture Notes in Electrical Engineering, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-19-6613-2_20
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DOI: https://doi.org/10.1007/978-981-19-6613-2_20
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