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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 110))

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Abstract

This paper discusses the problem of direction of angle (DOA) for acoustic vector-sensor array, and derives multi-invariance MUSIC (MI-MUSIC) algorithm therein. The proposed MI-MUSIC, which only requires one-dimension searching, can avoid the high computational cost within two-dimension MUSIC algorithm (2D-MUSIC). Our proposed algorithm can resolve the DOAs estimation of acoustic vector-sensor array. We illustrate that MI-MUSIC algorithm has better performance than ESPRIT algorithm, and it also can be viewed as a generalization of MUSIC. Simulation results verify the usefulness of our algorithm.

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© 2011 Springer-Verlag Berlin Heidelberg

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Chen, W., Sun, Z., Zhang, X. (2011). Multi-invariance MUSIC Algorithm for DOA Estimation in Acoustic Vector-Sensor Array. In: Jiang, L. (eds) Proceedings of the 2011 International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19-20, 2011, Melbourne, Australia. Advances in Intelligent and Soft Computing, vol 110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25185-6_41

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  • DOI: https://doi.org/10.1007/978-3-642-25185-6_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25184-9

  • Online ISBN: 978-3-642-25185-6

  • eBook Packages: EngineeringEngineering (R0)

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