Indoor Self-Localization and Orientation Estimation of Smartphones Using Acoustic Signals

We propose a new acoustic self-localization and orientation estimation algorithm for smartphones networks composed of commercial off-the-shelf devices equipped with two microphones and a speaker. Each smartphone acts as an acoustic transceiver, which emits and receives acoustic signals. Node locatio...

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Veröffentlicht in:Wireless communications and mobile computing 2017-01, Vol.2017 (2017), p.1-11
Hauptverfasser: Rosa-Zurera, Manuel, Gil-Pita, Roberto, Ayllón, David, Sánchez-Hevia, Héctor A.
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container_end_page 11
container_issue 2017
container_start_page 1
container_title Wireless communications and mobile computing
container_volume 2017
creator Rosa-Zurera, Manuel
Gil-Pita, Roberto
Ayllón, David
Sánchez-Hevia, Héctor A.
description We propose a new acoustic self-localization and orientation estimation algorithm for smartphones networks composed of commercial off-the-shelf devices equipped with two microphones and a speaker. Each smartphone acts as an acoustic transceiver, which emits and receives acoustic signals. Node locations are found by combining estimates of the range and direction of arrival (DoA) between node pairs using a maximum likelihood (ML) estimator. A tailored optimization algorithm is proposed to simultaneously solve the DoA uncertainty problem that arises from the use of only 2 microphones per node and obtain the azimuthal orientation of each node without requiring an electronic compass.
doi_str_mv 10.1155/2017/3534829
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source Wiley-Blackwell Open Access Titles; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection
subjects Acoustics
Algorithms
Arrays
Commercial off-the-shelf technology
Direction of arrival
Estimates
Geometry
Localization
Maximum likelihood estimators
Microphones
Nodes
Optimization
Orientation
Sensors
Smartphones
Software
Wireless networks
title Indoor Self-Localization and Orientation Estimation of Smartphones Using Acoustic Signals
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