Data used in ELC paper (IEEE Radar Conf'26)
Abstract
Data formatted for use with ELC code. Original sources below: Radar: RadNIST (Task 0): R. Caromi, M. Souryal, and T. A. Hall, “RF Dataset of Incumbent Radar Signals in the 3.5 GHz CBRS Band,” 2017.) RadChar (Task 1): Z. Huang, A. Pemasiri, S. Denman, C. Fookes, and T. Martin, “MultiTask Learning For Radar Signal Characterisation,” in IEEE ICASSPW, Jun. 2023, p. 1–5. RFF: DRC: M. Ezuma, F. Erden, C. K. Anjinappa, O. Ozdemir, and I. Guvenc, “Drone remote controller rf signal dataset,” 2020. [Online]. Available: https://dx.doi.org/10.21227/ss99-8d56 USRP: A. Al-Shawabka, F. Restuccia, S. D’Oro, T. Jian, B. Costa Rendon, N. Soltani, J. Dy, S. Ioannidis, K. Chowdhury, and T. Melodia, “Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting,” in IEEE INFOCOM, 2020, pp. 646–655. LoRa (RFMLS): G. Shen, J. Zhang, and A. Marshall, “Radio frequency fingerprint lora dataset with multiple receivers,” 2024. [Online]. Available: https://dx.doi.org/10.21227/d6vx-r538
Fields of Study & Subjects
Wireless Signal Modulation Classification
Radar Systems and Signal Processing
Cognitive Radio Networks and Spectrum Sensing
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 February 2026