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Application of Blind Source Separation to Five-Element Cross Array Passive Location

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3971))

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Abstract

Passive acoustic source location and tracking can be implemented by microphone array, which makes it have a broad application on target detection and fault diagnosis etc. Five-element planar cross array is an effective structure for acoustic source location, but the bad location results often obtained by conventional relative acoustic source location methods in complicated environments. This paper proposed a novel passive acoustic source location method based on blind source separation and thoroughly analyzed this new location algorithm. Experiments show that a more stable and accurate location results may be obtained by this new location method. The implementation of this location method is relatively simple and effective, which can satisfy the demand of engineering application.

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Author information

Authors and Affiliations

  1. Naval University of Engineering, Wuhan, 430033, China

    Gaoming Huang

  2. Department of Radio Engineering, Southeast University, Nanjing, 210096, China

    Gaoming Huang, Yang Gao, Luxi Yang & Zhenya He

Authors
  1. Gaoming Huang
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  2. Yang Gao
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  3. Luxi Yang
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  4. Zhenya He
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd., 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Huang, G., Gao, Y., Yang, L., He, Z. (2006). Application of Blind Source Separation to Five-Element Cross Array Passive Location. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11759966_176

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  • DOI: https://doi.org/10.1007/11759966_176

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34439-1

  • Online ISBN: 978-3-540-34440-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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