稀疏特征在微弱被动鱼声检测中的应用

doi:10.11978/j.issn.1009-5470.2015.04.006

Journal of Tropical Oceanography ›› 2015, Vol. 34 ›› Issue (4): 48-53.doi: 10.11978/j.issn.1009-5470.2015.04.006CSTR: 32234.14.j.issn.1009-5470.2015.04.006

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

CHEN Gong¹, WANG Ping-bo², CHANG Rui¹, DU Yu-hua¹, YU Hai-ping¹, LI Yao-bo³

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:2014-08-25 Online:2015-08-10 Published:2015-08-21

Abstract

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

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.

References

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

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