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. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Li, P., & Ma, X. (2009). Robust acoustic source localization with TDOA based RANSAC algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5754 LNCS, pp. 222–227). https://doi.org/10.1007/978-3-642-04070-2_25
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