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Journal of System Simulation

Abstract

Abstract: The existing range based cooperative navigation methods for clustered UAVs generally ignore the impact of space configuration on positioning and energy determination, which makes it difficult to obtain the accurate navigation and positioning results. In view of this, a collaborative navigation method is proposed for 5G clustered UAVs based on spatial configuration optimization. The relative ranging error model of UAVs based on 5G signals in complex environments is constructed, and the optimization strategy for collaborative navigation nodes is established based on the minimum geometric division of precision(GDOP) criterion to achieve the real-time optimization of collaborative navigation spatial configuration; A collaborative navigation filter based on 5G ranging network is designed to estimate and compensate the UAV navigation information online, so as to improve the collaborative positioning accuracy of clustered UAVs. Simulation results show that through the proposed collaborative navigation method, the slave positioning accuracy is improved by 42.05% on average, which provides an effectively new method for clustered UAVs to achieve autonomous navigation when satellite signals are unavailable.

First Page

981

Last Page

990

CLC

TP391.9; TP29

Recommended Citation

Gao Chao, Huang Zheng, Zhao Xuan, et al. Collaborative Navigation Method for 5G Cluster UAV Based on Configuration Optimization[J]. Journal of System Simulation, 2024, 36(4): 981-990.

Corresponding Author

Huang Zheng

DOI

10.16182/j.issn1004731x.joss.22-1472

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