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Intention Estimation of Adversarial Spatial Target Based on Fuzzy Inference

Wenjia Xiang1, Xiaoyu Li1,*, Zirui He1, Chenjing Su1, Wangchi Cheng2, Chao Lu3, Shan Yang4

1 School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
2 Institute of Logistics Science and Technology, Beijing, 100166, China
3 Science and Technology on Altitude Simulation Laboratory, Sichuan Gas Turbine Establishment Aero Engine Corporation of China, Mianyang, 621000, China
4 Department of Chemistry, Physics and Atmospheric Sciences, Jackson State University, Jackson, MS 39217, USA

* Corresponding Author: Xiaoyu Li. Email: email

Intelligent Automation & Soft Computing 2023, 35(3), 3627-3639. https://doi.org/10.32604/iasc.2023.030904

Abstract

Estimating the intention of space objects plays an important role in aircraft design, aviation safety, military and other fields, and is an important reference basis for air situation analysis and command decision-making. This paper studies an intention estimation method based on fuzzy theory, combining probability to calculate the intention between two objects. This method takes a space object as the origin of coordinates, observes the target’s distance, speed, relative heading angle, altitude difference, steering trend and etc., then introduces the specific calculation methods of these parameters. Through calculation, values are input into the fuzzy inference model, and finally the action intention of the target is obtained through the fuzzy rule table and historical weighted probability. Verified by simulation experiment, the target intention inferred by this method is roughly the same as the actual behavior of the target, which proves that the method for identifying the target intention is effective.

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Cite This Article

W. Xiang, X. Li, Z. He, C. Su, W. Cheng et al., "Intention estimation of adversarial spatial target based on fuzzy inference," Intelligent Automation & Soft Computing, vol. 35, no.3, pp. 3627–3639, 2023.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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