TY - GEN
T1 - Unsupervised Domain Adaptation based Modulation Classification for Overlapped Signals
AU - Zhang, Rui
AU - Yin, Zhendong
AU - Yang, Zhutian
AU - Wu, Zhilu
AU - Zhao, Yanlong
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - As the electromagnetic environment complexity increases, the importance of automatic modulation classification for overlapped signals (OS-AMC) becomes more evident. Existing deep learning methods utilizing supervised learning are heavily challenged because the actual application environment is more complicated than the ideal training environment, and the raw samples may not be labeled due to time constraints when it comes to an emergency. Hence, in this letter, we develop an unsupervised domain adaptation-based OS-AMC method to transfer the model trained under an additive white Gaussian noise (AWGN) channel to a multi-path channel. To the best of our knowledge, solving the OS-AMC problem in a complex environment has not been addressed yet.
AB - As the electromagnetic environment complexity increases, the importance of automatic modulation classification for overlapped signals (OS-AMC) becomes more evident. Existing deep learning methods utilizing supervised learning are heavily challenged because the actual application environment is more complicated than the ideal training environment, and the raw samples may not be labeled due to time constraints when it comes to an emergency. Hence, in this letter, we develop an unsupervised domain adaptation-based OS-AMC method to transfer the model trained under an additive white Gaussian noise (AWGN) channel to a multi-path channel. To the best of our knowledge, solving the OS-AMC problem in a complex environment has not been addressed yet.
KW - Overlapped signals
KW - deep adaptation network
KW - deep learning
KW - modulation classification
KW - unsupervised domain adaptation
UR - https://www.scopus.com/pages/publications/85141426237
U2 - 10.1109/DSA56465.2022.00150
DO - 10.1109/DSA56465.2022.00150
M3 - 会议稿件
AN - SCOPUS:85141426237
T3 - Proceedings - 2022 9th International Conference on Dependable Systems and Their Applications, DSA 2022
SP - 1014
EP - 1015
BT - Proceedings - 2022 9th International Conference on Dependable Systems and Their Applications, DSA 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Dependable Systems and Their Applications, DSA 2022
Y2 - 4 August 2022 through 5 August 2022
ER -