NDLI: Interference cancellation algorithm based on improved generative model combined with improved generalised sidelobe cancellation in ELF communication

Content Provider	IET Digital Library
Author	Li, Chunteng Jiang, Yuzhong Liu, Fangjun
Abstract	To improve the communication quality of extremely-low-frequency (ELF) communication effectively, an interference cancellation algorithm based on the generative model widely used in the artificial intelligence field is proposed. Some magnetic antennas with higher sensitivity and analogue circuits with lower noise floor are designed to suppress various out-of-band interferences. For the first time, a generative model is introduced into the interference cancellation field in ELF communication. Based on the speech enhancement generative adversarial network widely used in speech signal enhancement, an improved generative model that can be applied in the interference cancellation field is proposed to provide some more revelant reference information. By the combination of the improved generative model and the improved generalised sidelobe cancellation (GSC) algorithm, the estimated accuracy of noise and interference is improved effectively. To verify the effectiveness of the proposed algorithm, an experimental platform is built in a laboratory environment, and multiple sets of controlled experiments are performed. Also, the experimental results show that the improved generative model has better performance, better robustness, and relatively lower computational complexity. In addition, compared with the original GSC algorithm and its traditional improved algorithm, the proposed algorithm further promoted the signal-to-interference-plus-noise ratio gain within the range of signal bandwidth.
Starting Page	1787
Ending Page	1792
Page Count	6
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 12, Jul (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.6217
Journal	IET Communications
Publisher Date	2019-04-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acoustic Signal Processing Array Signal Processing Computational Complexity Electromagnetic Compatibility ELF Communication Extremely-low-frequency Communication Improved Generalised Sidelobe Cancellation Algorithm Improved Generative Model Interference Interference Cancellation Algorithm Interference Cancellation Field Interference Suppression Signal Processing And Detection Signal-to-interference-plus-noise Ratio Gain Speech And Audio Signal Processing Speech Enhancement Speech Enhancement Generative Adversarial Network Speech Processing Technique Statistics Traditional Improved Algorithm
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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