Geometric inference of the room geometry under temperature variations

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Annibale P, Filos J, Naylor PA, Rabenstein R
Publication year: 2012
ISBN: 9781467302760
Language: English


Abstract


Geometric inference is an approach for localizing reflectors in a closed acoustic space. It is based on a simple observation that turns time differences of arrival (TDOA) or time of arrival (TOA) measurements from the signals of a microphone array into a geometric constraint. The reflector localization methodology relies on accurate TDOA which is directly dependent on speed of sound information. Estimating the actual speed of sound at the ambient temperature therefore greatly improves the accuracy of the reflector localization in uncontrolled environments. This manuscript shows how to use the geometric inference jointly with the speed of sound estimation for a more accurate reflector localization. Simulations and experiments show the validity of the proposed approach. © 2012 IEEE.


FAU Authors / FAU Editors

Annibale, Paolo
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Rabenstein, Rudolf Prof. Dr.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


External institutions with authors

Imperial College London / The Imperial College of Science, Technology and Medicine


How to cite

APA:
Annibale, P., Filos, J., Naylor, P.A., & Rabenstein, R. (2012). Geometric inference of the room geometry under temperature variations. In Proceedings of the 5th International Symposium on Communications Control and Signal Processing, ISCCSP 2012. Rome, IT.

MLA:
Annibale, Paolo, et al. "Geometric inference of the room geometry under temperature variations." Proceedings of the 5th International Symposium on Communications Control and Signal Processing, ISCCSP 2012, Rome 2012.

BibTeX: 

Last updated on 2019-27-04 at 18:53

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