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Journal of Tropical Oceanography >

2015 , Vol. 34 >Issue 4: 48 - 53

DOI: https://doi.org/10.11978/j.issn.1009-5470.2015.04.006

Research on detection of weak passive fish acoustic by sparse decomposition feature

  • CHEN Gong ,
  • WANG Ping-bo ,
  • CHANG Rui ,
  • DU Yu-hua ,
  • YU Hai-ping ,
  • LI Yao-bo
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  • 1. Changzhou Institute of Technology, Changzhou 213022, China;
    2. Naval University of Engineering, Wuhan 430033, China;
    3. Unit No. 92956 of the Chinese Peoples Liberation Army, Dalian 116041, China

Received date: 2014-08-25

  Online published: 2015-08-21

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Abstract

To detect and recognize passive fish acoustic signals from noisy marine environment, sparse decomposition is used to realize the endpoint detection by coherent ratio feature. This algorithm extracts feature of fish and wave acoustic as test object under different signal-to-noise (SNR) ratios in the training; feature from noisy signal segment is extracted in the testing to classify test object; finally, it is realized by threshold endpoint detection method. Experimental results show that the algorithm in low SNR can accurately realize effective signal segments, compared with the power spectrum feature extraction algorithm.

Key words： passive fish acoustic; endpoint detection; sparse decomposition; low signal-to-noise ratio

Cite this article

CHEN Gong , WANG Ping-bo , CHANG Rui , DU Yu-hua , YU Hai-ping , LI Yao-bo . Research on detection of weak passive fish acoustic by sparse decomposition feature[J]. Journal of Tropical Oceanography, 2015 , 34(4) : 48 -53 . DOI: 10.11978/j.issn.1009-5470.2015.04.006

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