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The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.
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References

1 
Lei, Q., Li J. and Zhou D., “Tracking filter and prediction for non-ballistic target HTV-2 in near space,” IEEE Chinese Control and Decision Conf., pp. 3556-3561, 2015.DOI
2 
Chang, C. B., Athans, M. and Whiting, R., “On the state and parameter estimation for maneuvering reentry vehicles,” IEEE Trans. Automat. Contr., vol. 22, no. 1, pp. 99-105, 1977.DOI
3 
Zeng, F., et al., “A trajectory prediction method for boost phase BM based on adaptive tracking and GPR,” Aerospace Systems, vol. 8, pp. 125-139, 2024.DOI
4 
Lee, S. C. and Liu, C. Y., “Trajectory estimation of reentry vehicles by use of on-line input estimator,” J. Guidance, Control, and Dynamics, vol. 22, no. 6, pp. 808-815, 1999.DOI
5 
Mendenhall, M. R., Stanley C. P. Jr and Daniel J. Lesieutre, “Prediction of the nonlinear aerodynamic characteristics of maneuvering missiles,” J. Spacecraft and Rockets, vol. 24, no. 5, pp. 394-402, 1987.DOI
6 
Bhale, P. G., et. al., “Estimation of ballistic coefficient of reentry vehicle with divided difference filtering using noisy RF seeker data.” IEEE Int. Conf. Industrial Tech., pp. 1087-1092, 2006.DOI
7 
Lin, C. S. and Raeth, P. G., “Prediction of missile trajectory,” IEEE Int. Conf. Sys., Man and Cybernetics, vol. 3, pp. 2558-2563, 1995.URL
8 
Cheng, Yunpeng, et al., “Aerodynamic statistics-based trajectory estimation of hypersonic maneuvering target,” IEEE Access, vol. 8, pp. 227642-227656, 2020.DOI
9 
Ji, R., Liang, Y., Xu, L. and Wei, Z., “Trajectory prediction of ballistic missiles using Gaussian process error model,” Chinese J. of Aeronautics, vol. 35, no. 1, pp. 458-469, 2021.DOI
10 
Wang, Z., et al., “Deep learning based missile trajectory prediction,” IEEE Int. Conf. Unmanned Systems, pp. 474-478, 2020.DOI
11 
Zhifei, Xi, et al., “Target maneuver trajectory prediction based on RBF neural network optimized by hybrid algorithm,” J. Sys. Eng. Electr., vol. 32, no. 2, pp. 498-516, 2021.DOI
12 
Lui, D. G., et al., “Long Short-Term Memory-Based Neural Networks for Missile Maneuvers Trajectories Prediction,” IEEE Access, vol. 11, pp. 30819-30831, 2023.DOI
13 
Lihan, S., et al., “Trajectory prediction in pipeline form for intercepting hypersonic gliding vehicles based on LSTM,” Chinese J. Aero., vol. 36, no. 5, pp. 421-433, 2023.DOI
14 
Zhou, M. L., et al., “An intelligent trajectory prediction algorithm for hypersonic glide targets based on maneuver mode identification,” Int. J. Aerospace Eng., vol. 2022, no. 1, pp. 1-17, 2022.DOI
15 
Ouyang, L., et al., “A Transformer-based Trajectory Prediction Method for a Near-space Flight Vehicle,” IEEE Chinese Control Conf., pp. 4000-4005, 2024.DOI
16 
Sun, H. and Zhang, S., “Skip re-entry trajectory detection and guidance for maneuvering vehicles,” Sensors, vol. 20, no. 10, pp. 2976, 2020.DOI
17 
Lee, C. S., Jung, B. Y., Ra, W. S., “A Study of the Effect of Maneuver Model on Ballistic Target Tracking,” The Trans. Korean Institute of Electrical Eng., vol. 71, no. 12, pp. 1830-1840, 2022.URL
18 
Fleeman, Eugene L., Missile Design Guide, AIAA, Inc., pp. 17-52, 2022.URL
19 
Ehricke, K.A., Space Flight: Principles of Guided Missile Design, Van Nostrand, pp. 1-88, 1962.URL
20 
Bar-Shalom, Yaakov, X. Rong Li, and Thiagalingam Kirubarajan, Estimation with applications to tracking and navigation: theory algorithms and software, John Wiley & Sons, pp. 371-419, 2002.URL
21 
Siouris, George M., Aerospace avionics systems: a modern synthesis, Academic Press, pp. 443-451, 1993.URL