Computational Intelligence and Bioinspired Systems

Volume 3512 of the series Lecture Notes in Computer Science pp 857-864

Canonical Correlation Analysis Using for DOA Estimation of Multiple Audio Sources

  • Gaoming HuangAffiliated withNaval University of EngineeringDepartment of Radio Engineering, Southeast University
  • , Luxi YangAffiliated withDepartment of Radio Engineering, Southeast University
  • , Zhenya HeAffiliated withDepartment of Radio Engineering, Southeast University

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In this paper we study direction of arrival (DOA) estimation of multiple audio sources by canonical correlation analysis (CCA), which is based on a sparse linear arrays. This array is composed of two 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 we can compute the azimuth of different audio sources. The important contribution of this new estimation method is that it can reduce the effect of inter-sensor spacing to DOA estimation and the computation burden is light. Simulation result confirms the validity and practicality of the proposed approach. Results of DOA estimation are more accurate and stable based on this new method.