UAV Trajectory Tracking via RNN-Enhanced IMM-KF with ADS-B Data-Reference-Cited by-同舟云学术

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UAV Trajectory Tracking via RNN-Enhanced IMM-KF with ADS-B Data

Published:2024-04-21 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE Wireless Communications and Networking Conference (WCNC)
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Author:

Zhu Yian¹,Jia Ziye¹,Wu Qihui¹,Dong Chao¹,Zhuang Zirui²,Hu Huiling³,Cai Qi³

Affiliation:

1. Nanjing University of Aeronautics and Astronautics,The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology,210016

2. Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876

3. Middle-south Regional Air Traffic Management Bureau of CAAC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10570463/10570502/10570914.pdf?arnumber=10570914

Reference15 articles.

1. Computation Offloading for Uncertain Marine Tasks by Cooperation of UAVs and Vessels

2. Hierarchical Aerial Computing for Internet of Things via Cooperation of HAPs and UAVs

3. Aerospace Integrated Networks Innovation for Empowering 6G: A Survey and Future Challenges

4. LEO-Satellite-Assisted UAV: Joint Trajectory and Data Collection for Internet of Remote Things in 6G Aerial Access Networks

5. A survey of radio propagation channel modelling for low altitude flying base stations

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