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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Multiple Acoustic Sources Location Based on Blind Source Separation
verfasst von : Gaoming Huang, Luxi Yang, Zhenya He
Erschienen in: Advances in Natural Computation
Verlag: Springer Berlin Heidelberg
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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.