Robust acoustic source localization with TDOA based RANSAC algorithm

Authors:
Peihua Li;Xianzhe Ma
Affiliations:
School of Computer Science and Technology, Heilongjiang University, Hei Long Jiang Province, China;School of Computer Science and Technology, Heilongjiang University, Hei Long Jiang Province, China
Venue:
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

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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.