Electronics Optics & Control, Volume. 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 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(4)

    [4] [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] [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] [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] [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.

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    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

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    Paper Information

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    Received: Feb. 21, 2019

    Accepted: --

    Published Online: Dec. 23, 2020

    The Author Email:

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

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