Abstract
In order to study the problem of multi-target passive localization of UAV clusters, this paper first uses the traditional pseudo-linear estimation (PLE) method for target coarse positioning. Then for multi-target passive localization scenarios, proposes a resource allocation method of UAV clusters based on the greedy algorithm. Finally uses the improved weighted pseudo-linear estimation (WPLE) method or improved maximum likelihood estimation (MLE) method for target fine positioning. Besides, the influence of different passive localization algorithms and related parameters on the positioning performance of the system is analyzed through simulation. The experimental results show that the positioning algorithm proposed in this paper achieves accurate positioning of multiple targets, and has a higher positioning accuracy than the traditional PLE method, which verifies the effectiveness and feasibility of the algorithm.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Lingren, A.G., Gong, K.F.: Position and velocity estimation via bearing observations. IEEE Trans. Aerosp. Electron. Syst. AES-14(4), 564–577 (1978). https://doi.org/10.1109/TAES.1978.308681
Doanay, K.: Bearings-only target localization using total least squares. Signal Process. 85(9), 1695–1710 (2005)
Luo, J.A., et al.: A novel bearing-assisted TDOA-GROA approach for passive source localization. Int. J. Intell. Comput. Cybern. (2018)
Gavish, M., et al.: Performance analysis of bearing-only target location algorithms. IEEE Trans. Aerosp. Electron. Syst. (1992)
Fan, B., Li, Y., Zhang, R., Qiqi, F.: Review on the technological development and application of UAV systems. Chin. J. Electron. 29(2), 5–13 (2020)
Rufa, J.R., Atkins, E.M.: Unmanned aircraft system navigation in the urban environment: A systems analysis. J. Aerosp. Inform. Syst. 12(12), 710–727 (2016)
Wang, G., Chen, H.: An importance sampling method for TDOA-Based source localization. IEEE Trans. Wireless Commun. 10(5), 1560–1568 (2011)
Zhao, S., et al.: A closed-form localization method utilizing pseudorange measurements from two non-synchronized positioning systems. IEEE Internet of Things J. (2020)
Luo, J.A., et al.: A novel subspace approach for bearing-only target localization. IEEE Sens. J. PP. 99, 1–1 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ding, B., Zhou, Y., Rao, B., Wang, W. (2023). Multi-target Passive Localization Algorithm Based on UAV Clusters. In: Ren, Z., Wang, M., Hua, Y. (eds) Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control. Lecture Notes in Electrical Engineering, vol 934. Springer, Singapore. https://doi.org/10.1007/978-981-19-3998-3_75
Download citation
DOI: https://doi.org/10.1007/978-981-19-3998-3_75
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-3997-6
Online ISBN: 978-981-19-3998-3
eBook Packages: EngineeringEngineering (R0)