Research on trajectory planning of UAVs for collaborative detection with radar in multi-station passive localization system

Jian He; Shuling Song; Yeke Chen

doi:10.1117/12.3009412

11 October 2023 Research on trajectory planning of UAVs for collaborative detection with radar in multi-station passive localization system

Jian He, Shuling Song, Yeke Chen

Author Affiliations +

Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 129181B (2023) https://doi.org/10.1117/12.3009412
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China

Abstract

This paper investigates the problem of trajectory generation in a multi-station passive time-difference localization system in which an unmanned aerial vehicle (UAV) equipped with a passive payload replaces a secondary radar station in the localization task. Based on this, a method is given for segmenting the optimal deployment trajectory so that the deployment trajectory can be executed by the UAV according to the speed and load-on cruise time constraints of the UAV. Simulation and analysis of the model and method are carried out, the results meet the expected results, and these methods are reasonable and effective.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jian He, Shuling Song, and Yeke Chen "Research on trajectory planning of UAVs for collaborative detection with radar in multi-station passive localization system", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 129181B (11 October 2023); https://doi.org/10.1117/12.3009412

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