Robust Acoustic Source Localization with TDOA Based RANSAC Algorithm

  • Peihua Li
  • Xianzhe Ma
Conference paper

DOI: 10.1007/978-3-642-04070-2_25

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5754)
Cite this paper as:
Li P., Ma X. (2009) Robust Acoustic Source Localization with TDOA Based RANSAC Algorithm. In: Huang DS., Jo KH., Lee HH., Kang HJ., Bevilacqua V. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2009. Lecture Notes in Computer Science, vol 5754. Springer, Berlin, Heidelberg

Abstract

Acoustic source localization has been an hot research topic with widespread applications in many fields. In the noisy environment or when the reverberation is considerable, the source localization problem becomes challenging and many existing algorithms deteriorate. The paper proposes a robust algorithm which combines the RANdom SAmple Consensus (RANSAC) algorithm, and the Generalized Cross-Correlation (GCC) based Time Difference of Arrival (TDOA). Experiments in real world data show that the proposed algorithm has significantly better performance than the traditional algorithm.

Keywords

Acoustic source localization Random Sample Consensus Generalized Cross-Correlation Time Difference of Arrival 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Peihua Li
    • 1
  • Xianzhe Ma
    • 1
  1. 1.School of Computer Science and TechnologyHeilongjiang UniversityChina

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