Abstract
This paper focuses on the application of UAVs (unmanned aerial vehicles) on the information battlefield, and an intention prediction method for air targets is studied. Four factors of the enemy UAVs including velocity, angle, offense, and detection are analyzed and predicted by Grey Markov chain. Then, by combining the predicted factors with the rules provided by rough set, the enemy UAVs’ intention in the following short time can be deduced. The prediction method is studied utilizing incomplete information, and the feasibility of the developed prediction method is proved by the simulation results.
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Acknowledgments
This work is partially supported by Aeronautical Science Foundation of China (No. 20145152029) and Science and Technology on Electron-Optic Control Laboratory.
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© 2016 Springer Science+Business Media Singapore
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Xia, P., Chen, M., Zou, J., Feng, X. (2016). Prediction of Air Target Intention Utilizing Incomplete Information. In: Jia, Y., Du, J., Zhang, W., Li, H. (eds) Proceedings of 2016 Chinese Intelligent Systems Conference. CISC 2016. Lecture Notes in Electrical Engineering, vol 404. Springer, Singapore. https://doi.org/10.1007/978-981-10-2338-5_38
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DOI: https://doi.org/10.1007/978-981-10-2338-5_38
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Online ISBN: 978-981-10-2338-5
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