Abstract
The problem for an Unmanned Aerial Vehicle (UAV) to monitor a moving target based on bearing-only information is studied in this paper. By applying the Kalman filter, an improved bearing-only method is proposed for the UAV to precisely and stably estimate the state of the target. The improved estimator is combined with a controller existing in the literature. As a result, the UAV can track the target with a constant distance, which is finally demonstrated by some numerical simulations.
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Dai, Y., Peng, Z., Li, J., Chen, Z. (2023). An Improved Bearing-Only Method for a UAV to Track a Target. In: Fu, W., Gu, M., Niu, Y. (eds) Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022). ICAUS 2022. Lecture Notes in Electrical Engineering, vol 1010. Springer, Singapore. https://doi.org/10.1007/978-981-99-0479-2_264
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DOI: https://doi.org/10.1007/978-981-99-0479-2_264
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