Performance Optimization of Suppression Method for Platform Vibration Noise based on Vector Hydrophone

Tian Hu*, Yougen Xu, Chuyang Ye

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

Objective: Aiming at the vibration control problem existing in the vector hydrophone under platform vibration and noise excitation, two methods, adaptive noise cancellation algorithm and vibration reduction design, are used to suppress vibration and noise. Methods: A simulation model of vibration and noise signals in the side area of the platform is established first, and the simulation model is simulated by adaptive noise cancellation method. Then noise reduction simulation is carried out by seismic mitigation and isolation method. Finally, the simulation results of the two methods are compared to check the effectiveness of the two noise suppression methods. Results: The results show that adaptive noise cancellation algorithm can effectively cancel the line spectra of platform vibration and noise, and the reduction of continuous spectra is about 10 dB; while the vibration reduction method can reduce the whole vibration and noise of the model, and the vibration and noise interference of the vector hydrophone is reduced by about 15 dB. Conclusion: The obtained results can serve as valuable reference for the performance optimization of suppression methos for vector hydrophones under platform's vibration and noise excitation.

Original languageEnglish
Article number012015
JournalJournal of Physics: Conference Series
Volume2246
Issue number1
DOIs
Publication statusPublished - 12 Apr 2022
Event2022 8th International Symposium on Sensors, Mechatronics and Automation System, ISSMAS 2022 - Virtual, Online
Duration: 14 Jan 202216 Jan 2022

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