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Classification of underwater target echoes based on auditory perception characteristics

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Abstract

In underwater target detection, the bottom reverberation has some of the same properties as the target echo, which has a great impact on the performance. It is essential to study the difference between target echo and reverberation. In this paper, based on the unique advantage of human listening ability on objects distinction, the Gammatone filter is taken as the auditory model. In addition, time-frequency perception features and auditory spectral features are extracted for active sonar target echo and bottom reverberation separation. The features of the experimental data have good concentration characteristics in the same class and have a large amount of differences between different classes, which shows that this method can effectively distinguish between the target echo and reverberation.

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Authors and Affiliations

  1. Science and Technology on Underwater Acoustic Laboratory, Harbin Engineering University, Harbin, 150001, China

    Xiukun Li, Xiangxia Meng, Hang Liu & Mingye Liu

  2. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, 150001, China

    Xiukun Li, Xiangxia Meng, Hang Liu & Mingye Liu

Authors
  1. Xiukun Li
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  2. Xiangxia Meng
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  3. Hang Liu
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  4. Mingye Liu
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Corresponding author

Correspondence to Xiukun Li.

Additional information

Foundation item: Supported by the National Natural Science Foundation of China (Grant No.51279033).

Xiukun Li was born in 1962. She is a professor at Harbin Engineering University. Her current research interests include underwater acoustic signal processing, underwater buried object detection, sonar array signal processing and pattern recognition, etc.

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Li, X., Meng, X., Liu, H. et al. Classification of underwater target echoes based on auditory perception characteristics. J. Marine. Sci. Appl. 13, 218–224 (2014). https://doi.org/10.1007/s11804-014-1239-9

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  • DOI: https://doi.org/10.1007/s11804-014-1239-9

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