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

  • Gaoming Huang
  • Yang Gao
  • Luxi Yang
  • Zhenya He
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3971)


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.


Canonical Correlation Analysis Array Element Blind Source Separation Microphone Array Time Delay Estimation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Wang, Z.: Little Array High Precision Acoustic Source Passive Location, Ph.D Thesis (1999)Google Scholar
  2. 2.
    Bjorklund, S., Ljung, L.: A Review of Time-Delay Estimation Techniques. In: Proceedings of 42nd IEEE Conference on Decision and Control, vol. 3, pp. 2502–2507 (2003)Google Scholar
  3. 3.
    Knapp, C.H., Carter, G.C.: The Generalized Correlation Method for Estimation of Time Delay. IEEE Trans. Acoust. on Speech, Signal Processing 24(8), 320–327 (1976)CrossRefGoogle Scholar
  4. 4.
    Cheng, Z., Tjhung, T.T.: A New Time Delay Estimator Based on ETDE. IEEE Trans. on Acoust., Speech, Signal Processing 51(7), 1859–1869 (2003)Google Scholar
  5. 5.
    Yi, M., Wei, P., Xiao, X.C., Tai, H.M.: Efficient EM Initialisation Method for Time-delay Estimation. Electronics Letters 39(6), 935–936 (2003)CrossRefGoogle Scholar
  6. 6.
    Jutten, C., Herault, J.: Blind Separation of Sources, Part I: An Adaptive Algorithm Based on Neuromimetic. Signal Processing 24(1), 1–10 (1991)MATHCrossRefGoogle Scholar
  7. 7.
    David, V., Sánchez, A.: Frontiers of Research in BSS/ICA. Neurocomputing 49, 7–23 (2002)MATHCrossRefGoogle Scholar
  8. 8.
    Hyvärinen, A., Karhunen, J., Oja, E.: Independent Component Analysis. Wiley, Chichester (2001)CrossRefGoogle Scholar
  9. 9.
    Huang, G.M., Yang, L.X., He, Z.Y.: Blind Source Separation Using for Time-Delay Direction Finding. In: Yin, F.-L., Wang, J., Guo, C. (eds.) ISNN 2004. LNCS, vol. 3173, pp. 660–665. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  10. 10.
    Huang, G.M., Yang, L.X., He, Z.Y.: Application of Blind Source Separation to Time delay Estimation in Interference Environments. In: Wang, J., Liao, X.-F., Yi, Z. (eds.) ISNN 2005. LNCS, vol. 3497, pp. 496–501. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  11. 11.
    Huang, G.M., Yang, L.X., He, Z.Y.: Time-Delay Direction Finding Based on Canonical Correlation Analysis. In: ISCAS 2005, pp. 5409–5412 (2005)Google Scholar
  12. 12.
    Huang, G.M., Yang, L.X., He, Z.Y.: Application of Blind Source Separation to a Novel Passive Location. In: Puntonet, C.G., Prieto, A.G. (eds.) ICA 2004. LNCS, vol. 3195, pp. 1134–1141. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  13. 13.
    Huang, G.M., Yang, L.X., He, Z.Y.: Multiple Acoustic Sources Location Based on Blind Source Separation. In: Wang, L., Chen, K., S. Ong, Y. (eds.) ICNC 2005. LNCS, vol. 3610, pp. 683–687. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  14. 14.
    Anderson, T.W.: An Introduction to Multivariate Statistical Analysis, 2nd edn. John Wiley & Sons, Chichester (1984)MATHGoogle Scholar
  15. 15.
    Zhang, R.T., Fang, K.T.: An Introduction to Multivariate Statistical Analysis. Science House (1982)Google Scholar
  16. 16.
    Huang, G.M., Yang, L.X., He, Z.Y.: Canonical Correlation Analysis Using for DOA Estimation of Multiple Audio Sources. In: Cabestany, J., Prieto, A.G., Sandoval, F. (eds.) IWANN 2005. LNCS, vol. 3512, pp. 857–864. Springer, Heidelberg (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Gaoming Huang
    • 1
    • 2
  • Yang Gao
    • 2
  • Luxi Yang
    • 2
  • Zhenya He
    • 2
  1. 1.Naval University of EngineeringWuhanChina
  2. 2.Department of Radio EngineeringSoutheast UniversityNanjingChina

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