Motion State Recognition and Trajectory Prediction of Hypersonic Glide Vehicle Based on Deep Learning

Zhang, Junbiao; Jia-jun, Xiong; Li, Lingzhi; Qin, Xi; Chen, Xin; Li, Fan

doi:10.1109/access.2022.3150830

Cited by 16 publications

(8 citation statements)

References 30 publications

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“…Besides, longitudinal skip maneuvers have an obvious regularity. Therefore, the longitudinal trajectory prediction is relatively simple and the prediction accuracy is high [13,14].…”

Section: Longitudinal Maneuver Characteristics Analysismentioning

confidence: 99%

“…Besides, the importance of the objects of attack and environmental factors such as no-fly zones, etc, also affect the vehicle's maneuver intent. Assuming that there are Ψ possible attack objects and Z no-fly zones, with consideration of the above factors, the cost function of the maneuver intent for the ηth attack object is defined as [16] Pr…”

Section: Intent Inference Based Long-term Trajectory Predictionmentioning

confidence: 99%

“…Han et al [12] employed the decompositionintegration method to extract the longitudinal skip law and realized the longitudinal skip prediction. Zhang et al [13] presented a trajectory prediction method based on the control parameters identification and the control law reconstruction. Zhai et al [14] taken the compound function of first order polynomial and trigonometric function as the fitting function model to reconstruct the maneuver mode for trajectory prediction.…”

Section: Introductionmentioning

confidence: 99%

“…Li et al [4] used the least squares fitting method to identify and predict the rules of the target control variables completing the trajectory prediction. Zhang et al [16] designed a set of maneuver modes using aerodynamic parameters and iteratively updated the maneuver mode probability based on Bayesian theory to realize the hypersonic glide trajectory prediction. Those methods can solve the trajectory prediction problem under typical or specific maneuver mode.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Novel trajectory prediction algorithms for hypersonic gliding vehicles based on maneuver mode on-line identification and intent inference

Hu¹,

Gao²,

Li³

et al. 2021

Meas. Sci. Technol.

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Aiming at the trajectory prediction problem in hypersonic glide vehicle defense, novel trajectory prediction algorithms based on maneuver mode on-line identification and intent inference are proposed. For solving the maneuver mode identification and modeling problems, the auto-regressive method is introduced to reveal the hidden internal law in the historical tracking data and present the parametric model of the maneuver mode, thereby realizing the accurate trajectory prediction. To deal with the maneuver mode mutation problem, a novel intent inference based long-term trajectory prediction algorithm is proposed: firstly, the cost function of maneuver intent is constructed reasonably. Then, to solve the vehicle's intent recursive calculation problem, the recurrence formula of the vehicle's intent is derived based on Bayesian estimation theory, and the vehicle's reachable region rapid resolution and discretization methods are proposed. Finally, the vehicle's state recursive formula is derived with Bayesian estimation theory, and the trajectory prediction problem is transformed into the probability prediction problem of the vehicle appearing in a specific region. To avoid the large calculation problem in long-term trajectory prediction, the random sampling shooting method is adopted. The proposed trajectory prediction algorithms are combined to are combined to realize complementary advantages and provide as much valuable prediction information as possible for the defender. The simulation results show that the proposed trajectory prediction algorithms share high prediction accuracy and applicability.

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“…Besides, longitudinal skip maneuvers have an obvious regularity. Therefore, the longitudinal trajectory prediction is relatively simple and the prediction accuracy is high [13,14].…”

Section: Longitudinal Maneuver Characteristics Analysismentioning

confidence: 99%

Section: Intent Inference Based Long-term Trajectory Predictionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Novel trajectory prediction algorithms for hypersonic gliding vehicles based on maneuver mode on-line identification and intent inference

Hu¹,

Gao²,

Li³

et al. 2021

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…A re-entry gliding vehicle (RGV) is a type of prompt global strike weapon, with the characteristics of high speed, strong penetration ability, and wide strike range when flying in near space for a long time [1] . The study of RGV systems and their associated operations have been the focus of countries around the world [2] , due to the serious challenges they have posed to the defensive side regarding detection, tracking, prediction, and interception [3] .…”

Section: Introductionmentioning

confidence: 99%

A New Intelligent Recognition Method for Maneuver Modes of Re-entry Gliding Vehicle

He,

Wang,

et al. 2023

J. Phys.: Conf. Ser.

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Aiming at the problem of maneuver mode recognition for re-entry gliding vehicles (RGV), this article proposes a new intelligent method for maneuver mode recognition of re-entry gliding vehicles. Based on the extracted feature parameters that fit the maneuver characteristics of the vehicle trajectory and the constructed RGV maneuver modes trajectory library, an LSTM deep learning neural network was built to train the extracted new feature parameters. Compared with other typical feature parameters in network training, the results show that our proposed feature parameters converge faster and more stably in LSTM maneuver mode recognition network training, and achieve high recognition accuracy.

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An interpretable machine learning model for trajectory prediction based on nonlinear dynamics mechanism constraints: applications for HVs

Zhou,

Huang,

Shen

et al. 2023

Neural Comput & Applic

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Motion State Recognition and Trajectory Prediction of Hypersonic Glide Vehicle Based on Deep Learning

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 16 publications

References 30 publications

Novel trajectory prediction algorithms for hypersonic gliding vehicles based on maneuver mode on-line identification and intent inference

Novel trajectory prediction algorithms for hypersonic gliding vehicles based on maneuver mode on-line identification and intent inference

A New Intelligent Recognition Method for Maneuver Modes of Re-entry Gliding Vehicle

An interpretable machine learning model for trajectory prediction based on nonlinear dynamics mechanism constraints: applications for HVs

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