Cumulative State Coherence Transform for a Robust Two-Channel Multiple Source Localization

This work presents a novel robust method for a two-channel multiple Time Difference of Arrival (TDOA) estimation. The method is based on a recursive frequency-domain Independent Component Analysis (ICA) and on the novel State Coherence Transform (SCT). ICA is computed at different independent time-blocks and the obtained demixing matrices are used to generate observations of the propagation model of the intercepted sources. For the assumed time-frequency sparse dominance of the recorded sources, the observed propagation models are likely to represent all the active sources. The global coherence of the models is evaluated by a cumulated SCT, which provides a precise TDOA estimation for all the sources. Experimental results show that an accurate localization of 7 closely-spaced sources is possibile given only few seconds of data even in the case of low SNR. Experiments also show the advantage of the proposed strategy when compared with other popular two-microphone GCC-PHAT based method...

• Type: Conference
• Year: 2009
• Where: IDA
• Authors: Francesco Nesta, Piergiorgio Svaizer, Maurizio Omologo
• Keywords: Artificial Intelligence, Frequency-domain Independent Component, IDA 2009, Propagation Models, Two-channel Multiple Time