Source Localization and Tracking in Non-Convex Rooms

We consider the estimation of the acoustic source position in a known room from recordings by a microphone array. We propose an algorithm that does not require the room to be convex, nor a line-of-sight path between the microphone array and the source to be present. Times of arrival of early echoes are exploited through the image source model, thereby transforming the indoor localization problem to a problem of localizing multiple sources in the free-field. The localized virtual sources are mirrored into the room using the image source method in the reverse direction. Further, we propose an optimization-based algorithm for improving the estimate of the source position. The algorithm minimizes a cost function derived from the geometry of the localization problem. We apply the designed optimization algorithm to track a moving source, and show through numerical simulations that it improves the tracking accuracy when compared with the naive approach.


Published in:
2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp), 1429-1433
Presented at:
39th International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 4-9, 2014
Year:
2014
Publisher:
New York, Ieee
ISSN:
1520-6149
ISBN:
978-1-4799-2893-4
Keywords:
Laboratories:




 Record created 2014-02-03, last modified 2018-09-13

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