Air Combat Maneuver Trajectory Prediction Model of Target Based on Chaotic Theory and IGA-VNN
Joint Authors
Xu, An
Xi, Zhi-fei
Kou, Ying-xin
Li, Zhan-wu
Yang, Ai-wu
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-29
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract EN
Target maneuver trajectory prediction is an important prerequisite for air combat situation awareness and threat assessment.
Aiming at the problem of low prediction accuracy in traditional trajectory prediction methods, combined with the chaotic characteristics of the target maneuver trajectory time series, a target maneuver trajectory prediction model based on chaotic theory and improved genetic algorithm-Volterra neural network (IGA-VNN) model is proposed, mathematically deducing and analyzing the consistency between Volterra functional model and back propagation (BP) neural network in structure.
Firstly, the C-C method is used to reconstruct the phase space of the target trajectory time series, and the maximum Lyapunov exponent of the time series of the target maneuver trajectory is calculated.
It is proved that the time series of the target maneuver trajectory has chaotic characteristics, so the chaotic method can be used to predict the target trajectory time series.
Then, the practicable Volterra functional model and BP neural network are combined together, learning the advantages of both and overcoming the difficulty in obtaining the high-order kernel function of the Volterra functional model.
At the same time, an adaptive crossover mutation operator and a combination mutation operator based on the difference degree of gene segments are proposed to improve the traditional genetic algorithm; the improved genetic algorithm is used to optimize BP neural network, and the optimal initial weights and thresholds are obtained.
Finally, the IGA-VNN model of chaotic time series is applied to the prediction of target maneuver trajectory time series, and the experimental results show that its estimated performance is obviously superior to other prediction algorithms.
American Psychological Association (APA)
Xi, Zhi-fei& Xu, An& Kou, Ying-xin& Li, Zhan-wu& Yang, Ai-wu. 2020. Air Combat Maneuver Trajectory Prediction Model of Target Based on Chaotic Theory and IGA-VNN. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-23.
https://search.emarefa.net/detail/BIM-1201042
Modern Language Association (MLA)
Xi, Zhi-fei…[et al.]. Air Combat Maneuver Trajectory Prediction Model of Target Based on Chaotic Theory and IGA-VNN. Mathematical Problems in Engineering No. 2020 (2020), pp.1-23.
https://search.emarefa.net/detail/BIM-1201042
American Medical Association (AMA)
Xi, Zhi-fei& Xu, An& Kou, Ying-xin& Li, Zhan-wu& Yang, Ai-wu. Air Combat Maneuver Trajectory Prediction Model of Target Based on Chaotic Theory and IGA-VNN. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-23.
https://search.emarefa.net/detail/BIM-1201042
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201042