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Wireless Communications and Mobile Computing
Volume 2017 (2017), Article ID 3534829, 11 pages
https://doi.org/10.1155/2017/3534829
Research Article

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

1Department of Signal Theory and Communications, University of Alcalá, Alcalá de Henares, Spain
2Research & Development Department, Fonetic, Madrid, Spain

Correspondence should be addressed to Héctor A. Sánchez-Hevia

Received 19 May 2017; Accepted 22 August 2017; Published 25 September 2017

Academic Editor: Bowon Lee

Copyright © 2017 Héctor A. Sánchez-Hevia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.