A Robust and Efficient Angle Estimation Method via Field-Trained Neural Network for UAV Channels-Reference-Cited by-同舟云学术

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A Robust and Efficient Angle Estimation Method via Field-Trained Neural Network for UAV Channels

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:

Lei Taiya¹,Mao Kai¹,Yang Yuxin¹,Li Hanpeng¹,Zhu Qiuming¹,Ali Farman¹,Lin Zhipeng¹,Song Maozhong¹

Affiliation:

1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics,The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space,Nanjing,China,211106

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Key Technologies R&D Program of Jiangsu (Prospective and Key Technologies for Industry)

Southeast University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10570463/10570502/10570528.pdf?arnumber=10570528

Reference24 articles.

1. Digital Twin Enabled 6G Radio Testing: Concepts, Challenges and Solutions

2. Resource Allocation for UAV-Enabled Integrated Sensing and Communication (ISAC) via Multi-Objective Optimization

3. UAV Meets Integrated Sensing and Communication: Challenges and Future Directions

4. Map-Based Channel Modeling and Generation for U2V mmWave Communication

5. A Real-Time Hardware Emulator for 3D Non-Stationary U2V Channels

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