A Threat Assessment Method for Beyond-Visual-Range Air Combat Based on Situation Prediction

HU Zhaohui; LYU Yue; XU An

doi:10.3969/j.issn.1671-637x.2020.03.002

Journals >Electronics Optics & Control >Volume 27 >Issue 3 >Page 8 > Article

Electronics Optics & Control
Vol. 27, Issue 3, 8 (2020)

A Threat Assessment Method for Beyond-Visual-Range Air Combat Based on Situation Prediction

HU Zhaohui¹, LYU Yue², and XU An²

Author Affiliations

¹[in Chinese]

²[in Chinese]

show less

DOI: 10.3969/j.issn.1671-637x.2020.03.002 Cite this Article

HU Zhaohui, LYU Yue, XU An. A Threat Assessment Method for Beyond-Visual-Range Air Combat Based on Situation Prediction[J]. Electronics Optics & Control, 2020, 27(3): 8 Copy Citation Text

show less

References

[4] GUERRERO-PEA F A, VASCONCELOS G C.Object recognition under severe occlusions with a hidden Markov model approach［J］.Pattern Recognition Letters, 2017, 86(3):68-75.

[5] LAN D, WANG P H, LIU H W, et al.Bayesian spatiotemporal multitask learning for radar HRRP target recognition［J］.IEEE Transactions on Signal Processing, 2011, 59(7):3182-3196.

[6] HUANG C Q, DONG K S.Autonomous air combat maneuver decision using Bayesian inference and moving horizon optimization［J］.Journal of Systems Engineering and Electronics, 2018, 29(1):86-97.

[14] LI C Y, LONG H X, DING Y R.Multiple sequence alignment by improved hidden Markov model training and quantum-behaved particle swarm optimization［J］.Lecture Notes in Computer Science, 2010, 63(1):358-366.

HU Zhaohui, LYU Yue, XU An. A Threat Assessment Method for Beyond-Visual-Range Air Combat Based on Situation Prediction[J]. Electronics Optics & Control, 2020, 27(3): 8

Download Citation

Tools

Save the article for my favorites

Paper Information