Indoor Blind Localization of Smartphones by Means of Sensor Data Fusion
Autor: | David Ayllón, Roberto Gil-Pita, Manuel Rosa Zurera, Héctor A. Sánchez-Hevia, Manuel Utrilla Manso |
---|---|
Rok vydání: | 2016 |
Předmět: |
Engineering
Wireless network Visual sensor network business.industry Node (networking) 020208 electrical & electronic engineering Real-time computing 020206 networking & telecommunications 02 engineering and technology Sensor fusion Key distribution in wireless sensor networks Inertial measurement unit Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering Mobile wireless sensor network Electronic engineering Electrical and Electronic Engineering business Instrumentation Wireless sensor network |
Zdroj: | IEEE Transactions on Instrumentation and Measurement. 65:783-794 |
ISSN: | 1557-9662 0018-9456 |
DOI: | 10.1109/tim.2015.2494629 |
Popis: | Locating the nodes in wireless sensor networks (WSNs) is currently a very active area of research due to their increasing number of potential applications. Wireless networks composed of smartphones have gained particular interest, mainly due to the high availability of such devices. This paper presents a novel algorithm for blind localization of commercial off-the-shelf smartphones in a WSN. The algorithm uses acoustic signals and inertial sensors to estimate the sensor positions simultaneously. Estimates of range and direction-of-arrival (DOA) locally obtained in each node are combined with a maximum likelihood estimator. A tailored optimization algorithm is also proposed to solve the DOA uncertainty problem. Our proposal obtains low localization errors without considering any reference node nor any prior synchronization between nodes. |
Databáze: | OpenAIRE |
Externí odkaz: |