Multiple acoustic sources location based on blind source separation

Authors:
Gaoming Huang;Luxi Yang;Zhenya He
Affiliations:
Naval University of Engineering, Wuhan, China;Department of Radio Engineering, Southeast University, Nanjing, China;Department of Radio Engineering, Southeast University, Nanjing, China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Year:
2005

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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.