Abstract
In this paper we study location of multiple acoustic sources by blind source separation (BSS) method, which based on canonical correlation analysis (CCA). The receiving array is a sparse array. This array is composed of three separated subarrays. From the receiving data set, we can obtain the separate components by CCA. After a simple correlation, time difference can be obtained, and then compute the direction of arrival (DOA) of different acoustic sources. The coordinate of different acoustic sources can be obtained at last. The important contribution of this new location method is that it can reduce the effect of inter-sensor spacing and other factors. Simulation result confirms the validity and practicality of the proposed approach. Results of location are more accurate and stable based on this new method.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Torkkola, K.: Blind Separation of Delayed Sources Based on Information Maximization. In: Proc. IEEE ICASSP, pp. 3509–3512 (1996)
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)
Hotelling, H.: Relations Between Two Sets of Variates. Biometrika 1936(28) 321–377
Anderson, T.W.: An Introduction to Multivariate Statistical Analysis, 2nd edn. John Wiley & Sons, Chichester (1984)
Zhang, R.T., Fang, K.T.: An Introduction to Multivariate Statistical Analysis. Science House (1982)
Borga, M.: Learning Multidimensional Signal Processing. PhD thesis, Linköping University, Sweden, SE-581 83 Linköping, Sweden (1998) Dissertation No 531, ISBN 91-7219-202-X
Bach, F.R., Jordan, M.I.: Kernel Independent Component Analysis. Journal of Machine Learning Research, 2002(3) 1–48
Fyfe, C., Lai, P.L.: Ica Using Kernel Canonical Correlation Analysis. In: ICA 2000, vol. 2000(8), pp. 279–284 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Huang, G., Yang, L., He, Z. (2005). Multiple Acoustic Sources Location Based on Blind Source Separation. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3610. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539087_88
Download citation
DOI: https://doi.org/10.1007/11539087_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28323-2
Online ISBN: 978-3-540-31853-8
eBook Packages: Computer ScienceComputer Science (R0)