Novel cooperative guidance method considering the constraints of communication and field of view in salvo attack

To address the constraints of communication and field of view (FOV) for multiple flight vehicles (MFV) in salvo attacks, this paper proposes a novel cooperative guidance method. First, the optimal error dynamics based on the impact time control guidance (ITCG) is designed, and it is improved to a distributed cooperative guidance law. Second, the virtual leader strategy is introduced to solve the problem of cooperative guidance with switching communication topology and time delay. Finally, a data fusion algorithm is proposed to solve the constraint of FOV by a Kalman filter and the communication topology compensation. Simulation results illustrate the efficiency and robustness of the proposed method.

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Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2025-03-31
DOI
https://doi.org/10.1177/01423312251322937
Primary Topic
Guidance and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Novel cooperative guidance method considering the constraints of communication and field of view in salvo attack

Enjiao Zhao, Xue Ding, Zenan Zhong
Transactions of the Institute of Measurement and Control
Guidance and Control Systems
article

Novel cooperative guidance method considering the constraints of communication and field of view in salvo attack

Enjiao Zhao, Xue Ding, Zenan Zhong
article en

Abstract

To address the constraints of communication and field of view (FOV) for multiple flight vehicles (MFV) in salvo attacks, this paper proposes a novel cooperative guidance method. First, the optimal error dynamics based on the impact time control guidance (ITCG) is designed, and it is improved to a distributed cooperative guidance law. Second, the virtual leader strategy is introduced to solve the problem of cooperative guidance with switching communication topology and time delay. Finally, a data fusion algorithm is proposed to solve the constraint of FOV by a Kalman filter and the communication topology compensation. Simulation results illustrate the efficiency and robustness of the proposed method.

Transactions of the Institute of Measurement and Control
Harbin Engineering University (CN), Harbin Institute of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Heilongjiang Province
Openalex Percentile: Top 92%
Guidance and Control Systems
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