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Structure from sound with incomplete data

Citation Author(s):
Miranda Kreković, Gilles Baechler, Ivan Dokmanic, Martin Vetterli
Submitted by:
Miranda Krekovic
Last updated:
13 April 2018 - 5:44am
Document Type:
Poster
Document Year:
2018
Event:
Presenters:
Miranda Krekovic
Paper Code:
SAM-P6
 

In this paper, we consider the problem of jointly localizing a microphone array and identifying the direction of arrival of acoustic events. Under the assumption that the sources are in the far field, this problem can be formulated as a constrained low-rank matrix factorization with an unknown column offset. Our focus is on handling missing entries, particularly when the measurement matrix does not contain a single complete column. This case has not received attention in the literature and is not handled by existing algorithms, however it is prevalent in practice. We propose an iterative algorithm that works with pairwise differences between the measurements eliminating the dependence on the unknown offset. We demonstrate state-of-the-art performance both in terms of accuracy and versatility.

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