Research Article
Separation Algorithm of Fixed Wing UAV Positioning Signal Based on AI
@INPROCEEDINGS{10.1007/978-3-031-28787-9_23, author={Zhihui Zou and Zihe Wei}, title={Separation Algorithm of Fixed Wing UAV Positioning Signal Based on AI}, proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I}, proceedings_a={ADHIP}, year={2023}, month={3}, keywords={Artificial intelligence Fixed-wing UAV Positioning signal Signal separation}, doi={10.1007/978-3-031-28787-9_23} }- Zhihui Zou
Zihe Wei
Year: 2023
Separation Algorithm of Fixed Wing UAV Positioning Signal Based on AI
ADHIP
Springer
DOI: 10.1007/978-3-031-28787-9_23
Abstract
Unmanned aerial vehicle (UAV) is an unmanned aircraft remotely controlled by radio, which is widely used in reconnaissance. However, during the operation of UAV, the positioning signal is easily disturbed by noise, which leads to low separation accuracy and poor positioning effect of fixed wing UAV. To this end, a fixed wing UAV positioning signal separation algorithm based on artificial intelligence is proposed. The fixed-wing UAV positioning signal denoising algorithm is constructed by collecting the feature information of fixed-wing UAV, and the denoising of fixed-wing UAV positioning signal is completed. In order to reduce the signal separation error and realize the fixed wing UAV positioning signal separation, signal separation is processed according to the positioning signal algorithm. Experimental results show that the proposed algorithm can effectively separate the UAV location signal from the noise, and has high accuracy and good location effect under serious multipath interference.
