Abstract
In order to predict the air combat data accurately and quickly, a prediction method is developed for the aerial target based on autoregressive integrated moving average (ARIMA) model in this paper. The air combat situation data mainly consists of the velocity, altitude of aerial target and the angle between the target line of sight and target velocity. Finally, with an example, the simulation results indicate that the developed method can accurately and efficiently predict the air combat state data.
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Acknowledgements
This work is partially supported by Equipment Pre-research Foundation of Laboratory (No. 61425040104) and Science and Technology on Electron-Optic Control Laboratory. The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.
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Zhou, T., Wu, Q., Chen, M. (2019). State Prediction Based on ARIMA Model for Aerial Target. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2018 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 529. Springer, Singapore. https://doi.org/10.1007/978-981-13-2291-4_33
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DOI: https://doi.org/10.1007/978-981-13-2291-4_33
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