Deep Learning for Radar Signal Detection in the 3.5 GHz CBRS Band
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9677035/9677043/09677280.pdf?arnumber=9677280
Reference33 articles.
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1. Study on a Deep Learning-based Radar Signal Detection Model using Spectrogram Images;The Journal of Korean Institute of Information Technology;2024-07-31
2. SenseORAN: O-RAN-Based Radar Detection in the CBRS Band;IEEE Journal on Selected Areas in Communications;2024-02
3. Detection of Co- Existing RF Signals in CBRS Using ML: Dataset and API-Based Collection Testbed;IEEE Communications Magazine;2023-09
4. Time-Based Geolocation and Main Beam Estimation of an Airborne Rotating Radar for Spectrum Sharing;2023 IEEE Radar Conference (RadarConf23);2023-05-01
5. Finding Waldo in the CBRS Band: Signal Detection and Localization in the 3.5 GHz Spectrum;GLOBECOM 2022 - 2022 IEEE Global Communications Conference;2022-12-04
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