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Multi-Source Localization Strategies

  • Chapter
Microphone Arrays

Part of the book series: Digital Signal Processing ((DIGSIGNAL))

Abstract

Localization of multiple acoustic sources is an important task in many practical applications. However, in most cases adopted models are not fully adequate to describe real scenarios. In particular, in the presence of reverberation, the signal model should explicitly take into account both signals radiated by multiple sources and reflections. In alternative to Generalized Cross-Correlation methods, array processing concepts can be effectively applied to multi-source localization in reverberant environments. In this chapter, main features and limitations of wide-band array processing approaches are briefly reviewed. Furthermore, a new integrated localization and classification system, based on a robust frequency-domain Time Delay Of Arrival (TDOA) estimation followed by a spatial clustering of raw location estimates, is presented. The proposed method efficiently incorporates TDOA and array processing concepts in an unified approach. Results on simulated data are supplied.

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Author information

Authors and Affiliations

  1. INFOCOM Dept., University of Rome “La Sapienza”, Rome, Italy

    Elio D. Di Claudio & Raffaele Parisi

Authors
  1. Elio D. Di Claudio
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  2. Raffaele Parisi
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Editor information

Editors and Affiliations

  1. Div. of Eng. and Applied Scciences, Harvard University, 33 Oxford Street, 02138, Cambridge, MA, USA

    Michael Brandstein

  2. Dept. of Electrical Engineering, Imperial College, Exhibition Road, SW7 2AZ, London, GB

    Darren Ward

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© 2001 Springer-Verlag Berlin Heidelberg

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Di Claudio, E.D., Parisi, R. (2001). Multi-Source Localization Strategies. In: Brandstein, M., Ward, D. (eds) Microphone Arrays. Digital Signal Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04619-7_9

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  • DOI: https://doi.org/10.1007/978-3-662-04619-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-07547-6

  • Online ISBN: 978-3-662-04619-7

  • eBook Packages: Springer Book Archive

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