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A low frequency denoising algorithm of optical fiber laser hydrophone based on wavelet transformation
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Paper Abstract

Optical fiber laser hydrophone which has more research potentiality and value owing to higher acoustic pressure sensitivity, smaller size and lower difficulty of multiplexing. However the detecting capacity to low frequency signal of optical fiber laser hydrophone will be limited because of the low frequency noise such as 1/f noise and thermal noise of optical fiber laser and pumped laser. In order to suppress these noises, the iterative discrete wavelet transformation algorithm was designed which used multi-scale trait of wavelet transform. The different spectral components of underwater acoustic signal were separated and the noises below 1kHz were eliminated on the basis of the target signal amplitude would not be weakened. The measured data acquisitive from anechoic tank showed that the algorithm reduced the noise below 1kHz nearly 50dB and the Signal to Noise Ratio(SNR) is improved from 55.23dB to 84.05dB.

Paper Details

Date Published: 12 December 2018
PDF: 10 pages
Proc. SPIE 10850, Ocean Optics and Information Technology, 108500M (12 December 2018); doi: 10.1117/12.2505484
Show Author Affiliations
Yahan Yang, Pilot National Lab. for Marine Science and Technology (China)
Geyang Hao, Xi'an Institute of Optics and Precision Mechanics (China)
Bo Liu, Xi'an Institute of Optics and Precision Mechanics (China)
Guojun Wu, Pilot National Lab. for Marine Science and Technology (China)
Xian Institute of Optics and Precision Mechanics (China)
Pei Lv, Pilot National Lab. for Marine Science and Technology (China)


Published in SPIE Proceedings Vol. 10850:
Ocean Optics and Information Technology
Xuelong Li; Lixin Wu; Jianquan Yao; Hao Yin; Renhe Zhang; Zhongliang Zhu, Editor(s)

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