Title :
Zero-knowledge real-time indoor tracking via outdoor wireless directional antennas
Author :
Pongthawornkamol, Thadpong ; Ahmed, Shameem ; Nahrstedt, Klara ; Uchiyama, Akira
Author_Institution :
Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fDate :
March 29 2010-April 2 2010
Abstract :
WiFi localization and tracking of indoor moving objects is an important problem in many contexts of ubiquitous buildings, first responder environments, and others. Previous approaches in WiFi-based indoor localization and tracking either assume prior knowledge of indoor environment or assume many data samples from location-fixed WiFi sources (i.e. anchor points). However, such assumptions are not always true, especially in emergency scenarios. This paper explores the possibility of real-time indoor localization and tracking without any knowledge of indoor environment and with real-time data samples from only few anchor points outside the building. By using a small set of synchronized directional antennas as outdoor anchor points to actively scan in various directions, a moving device inside the building can be localized and tracked from the received signal in real-time manner. The paper proposes an angle-of-arrival estimator for accurate localization and adaptive per-antenna angular scheduling for real-time indoor tracking. The validation results from real experiment and simulation yield effectiveness and accuracy of the proposed schemes.
Keywords :
direction-of-arrival estimation; directive antennas; ubiquitous computing; wireless LAN; WiFi-based indoor localization; adaptive per-antenna angular scheduling; angle-of-arrival estimator; first responder environments; indoor moving object tracking; outdoor wireless directional antennas; synchronized directional antennas; ubiquitous buildings; zero-knowledge real-time indoor tracking; Adaptive scheduling; Computational modeling; Directional antennas; Global Positioning System; Humans; Indoor environments; Mobile computing; Processor scheduling; Target tracking; Ubiquitous computing;
Conference_Titel :
Pervasive Computing and Communications (PerCom), 2010 IEEE International Conference on
Conference_Location :
Mannheim
Print_ISBN :
978-1-4244-5329-0
Electronic_ISBN :
978-1-4244-5328-3
DOI :
10.1109/PERCOM.2010.5466968