Autors: Iliev, I. G., Bonev, B. G., Angelov, K. N., Petkov, P. J., Poulkov, V. K.
Title: Interference Identification based on Long Term Spectrum Monitoring and Cluster Analysis
Keywords: Uplink Interference; Channel Identification; Spectrum Monito

References

    Issue

    BlackSeaCom, 2016, Bulgaria, ISBN 978-150901925-0

    Цитирания (Citation/s):
    1. Zhang X., Zhang G., Wang H., Li G.,Two-Stage Neural Network Based Combined Interference Classification and Recognition for a GNSS Receiver, Lecture Notes in Electrical Engineering, Springer, LNEE, volume 652, 2020, China Satellite Navigation Conference (CSNC) 2020 Proceedings: Volume III, pp. 623-633 - 2020 - в издания, индексирани в Scopus или Web of Science
    2. Liu, G., Xi, Z., Liu, R., "A Novel Wireless Interference Identification and Scheduling Method based on Convolutional Neural Network", 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022, vol. 2022-January, 2022, DOI: 10.1109/ICCWorkshops53468.2022.9882172 - 2022 - в издания, индексирани в Scopus или Web of Science
    3. Fang, Z., Luo, Z., Wang, X., "An Efficient CNN-RNN Recognition Network for Complex Interference Signal", Proceedings of SPIE - The International Society for Optical Engineering, vol. 12720, 2023, DOI: 10.1117/12.2667930. - 2023 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science