Parameterized Interference Cancellation for Single-Carrier Underwater Acoustic Communications
Document Type
Conference Proceeding
Publication Date
4-9-2021
Department
Department of Electrical and Computer Engineering
Abstract
Underwater acoustic communications provide promising solutions for remote and real-time aquatic exploration and monitoring. However, the underwater environment is rich in various kinds of interferences. Those interferences could severely degrade the acoustic communication performance. This work tackles interference cancellation in a single-carrier modulated communication system. Based on the Nyqusit sampling theorem, the interference is parameterized by a finite number of unknown parameters. The Page test is applied to detect the presence of an interfering waveform in the received signal. An iterative receiver is developed, which iteratively performs the interference estimation/cancellation and traditional receiver processing. The proposed receiver is evaluated when the communication waveform is interfered by the ice-cracking impulsive noise and the sonar signal collected from the Arctic. The data processing results reveal that the proposed receiver achieves considerable decoding performance improvement through the iterative interference estimation and cancellation.
Publication Title
2020 Global Oceans 2020: Singapore - U.S. Gulf Coast
ISBN
9781728154466
Recommended Citation
Ge, W.,
Wang, Z.,
Yin, J.,
&
Han, X.
(2021).
Parameterized Interference Cancellation for Single-Carrier Underwater Acoustic Communications.
2020 Global Oceans 2020: Singapore - U.S. Gulf Coast.
http://doi.org/10.1109/IEEECONF38699.2020.9389172
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/16697