ABSTRACT
As the unmanned aerial vehicle system plays an increasingly important role in modern society, the problem of UAV formation adjustment has also attracted more and more scholars' attention. Passive azimuth-only positioning technology can reduce the electromagnetic radiation required for positioning, but it also brings great challenges to positioning. Taking the circular formation as an example, this paper discusses the passive triangulation model of pure azimuth angle, and proposes an optimization strategy based on local averaging, which can effectively solve the formation adjustment problem when there are position errors of multiple measuring points. In this strategy, the UAV under positioning is localized by three measurement groups at a time, and the UAV iteratively adjusts its position with a local average polar coordinate. Simulation experiments show that the strategy can effectively realize the autonomous coordination and coordination of multiple UAV formations, which has certain theoretical and practical significance.
- Huang L., Liu Z., Shi Z., 2015. Azimuth-only positioning technology and application of UAV system. National Defense Industry Press, Beijing, China.Google Scholar
- Rao K. D. & Reddy D. C. 1994. A new method for finding electromagnetic emitter location. IEEE Transactions on Aerospace and Electronic Systems, 30(4): 1081-1085.Google ScholarCross Ref
- Aidala V. & Hammel S. 1983. Utilization of modified polar coordinates for bearings-only tracking. IEEE Transactions on Automatic Control, 28(3), 283-294.Google ScholarCross Ref
- Song T. L. & Speyer J. L. 1985. A stochastic analysis of a modified gain extended kalman filter with application to estimation with bearings only measurements. IEEE Transactions on Automatic Control, 30(10), 940-949.Google ScholarCross Ref
- Guo F., Sun Z. & Kan H. 2003. A modified covariance extended Kalman filtering algorithm in passive location. Robotics, Proceedings of IEEE International Conference on Intelligent Systems and Signal Processing, 2003, 1:307-311.Google Scholar
- Guo R., Wang Y., Lan C. & Xu B. 2020. A multi-sensors pure azimuth data fusion method. Journal of Physics: Conference Series, Volume 1617, 2nd International Conference on Electronic Engineering and Informatics, Lanzhou, China.Google ScholarCross Ref
- Pan J. 2022. Multi-station Passive Pure Direction Finding Cross Localization Method Based on Tikhonov Regularization. Proceedings of 2022 10th China Conference on Command and Control, Springer, Singapore.Google ScholarCross Ref
- Qu Y., Wu J., Xiao B. & Yuan D. 2017. A fault-tolerant cooperative positioning approach for multiple UAVs. IEEE Access, vol. 5, pp. 15630-15640, 2017.Google ScholarCross Ref
Index Terms
- An Adjustment Algorithm for Multiple UAVs Based on Local Averaging
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