Wideband powerline positioning for indoor localization
Author(s) -
Erich P. Stuntebeck,
Shwetak Patel,
Thomas Robertson,
Matthew S. Reynolds,
Gregory D. Abowd
Publication year - 2008
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/1409635.1409649
Subject(s) - computer science , wideband , a priori and a posteriori , stability (learning theory) , work (physics) , real time computing , electronic engineering , machine learning , engineering , mechanical engineering , philosophy , epistemology
Fingerprinting techniques for indoor localization have been widely explored. A particular approach by Patel et al. suggested leveraging of the residential powerline as the signaling mechanism for a domestic location capability. In this paper, we critically examine that initial work, called powerline positioning (PLP). We find the proposed technique lacking in temporal stability, requiring frequent and undesired recalibration in some environments. We also determine that there is no a priori method to determine a pair of signaling frequencies that will reliably work in any space. We propose a wideband approach to PLP (WPLP) that injects up to 44 different frequencies into the powerline. We show that this WPLP approach improves upon overall positioning accuracy, demonstrates greatly improved temporal stability and has the added advantage of working in commercial indoor spaces.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom