@article{M2787E305,
title = "Sliding Window-Based Spectrum Sensing with Deep Learning for Pulse Radar Signals",
journal = "The Journal of Korean Institute of Communications and Information Sciences",
year = "2024",
issn = "1226-4717",
doi = "10.7840/kics.2024.49.9.1236",
author = "Chang Heon Lim, Jin-Yul Kim",
keywords = "cognitive radio, spectrum sensing, pulse radar, sliding window, deep learning",
abstract = "A sliding window-based spectrum sensing method determines the presence or absence of a primary user by comparing the maximum of the received signal energies from multiple sliding windows with a threshold. In this letter, aiming to enhance this scheme, we present a deep learning-based approach for exploiting the pattern of the received signal energies from sliding windows and investigate its sensing performance."
}