For RF Signal-Based UAV States Recognition, Is Pre-processing Still Important At The Era Of Deep Learning?
Author:
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9674217/9674209/09674467.pdf?arnumber=9674467
Reference15 articles.
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5. Deep Learning for RF-Based Drone Detection and Identification: A Multi-Channel 1-D Convolutional Neural Networks Approach
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1. Few-Shot Signal Recognition for UAV Based on Prototype Network;2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops);2023-08-10
2. Radio-Frequency Identification for Drones With Nonstandard Waveforms Using Deep Learning;IEEE Transactions on Instrumentation and Measurement;2023
3. SAS-SEINet: A SNR-Aware Adaptive Scalable SEI Neural Network Accelerator Using Algorithm–Hardware Co-Design for High-Accuracy and Power-Efficient UAV Surveillance;Sensors;2022-08-30
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