Indoor wireless localisation network using a mobile phone interfaceFaculty of Engineering - Papers (Archive)
AbstractIn recent years, indoor localisation and movement tracking of people and objects has generated interest for a variety of applications ranging from transport to health care. We present a localisation network designed to track people in an indoor environment. The localisation network consists of static nodes placed at predetermined locations in a building. Users carry a mobile node to track their current position. The mobile node has onboard motion sensors to detect a person’s heading direction and motion state. A dynamic tracking mode was used to determine a person’s position. The dynamic tracking model was implemented using a Multi-Hypothesis Estimation algorithm. The dynamic tracking model determines the mobile node’s position by using the mobile node’s proximity to static nodes, mobile node’s motion sensor information and the building’s floor-plan. We found that by using a multi-hypothesis estimation algorithm, robust localisation accuracy, could be achieved in real-time. The position resolution of the localisation network was found to have a maximum error between 1m and 3.5m. Further work involves extensive testing the localisation network with multiple mobile nodes and over a larger test region. Other areas involve investigating how multiple mobile nodes placed on a user can be used to improve the estimate of the user’s position.
Link to publisher version (URL)International Conference on Wireless Information Networks and Systems
Citation InformationMatthew D'Souza, Montserrat Ros and Adam Postula. "Indoor wireless localisation network using a mobile phone interface" (2009)
Available at: http://works.bepress.com/adam_postula/12/