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An adaptive weighting algorithm for accurate radio tomographic image in the environment with multipath and WiFi interference [in press]

Wang, M.; Wang, Zhonglei; Bu, X.; Ding, E.

Abstract: Radio frequency device-free localization based on wireless sensor network has proved its feasibility in buildings. With this technique, a target can be located relying on the changes of received signal strengths caused by the moving object. However, the accuracy of many such systems deteriorates seriously in the environment with WiFi and the multipath interference. State-of-the-art methods do not efficiently solve the WiFi and multipath interference problems at the same time. In this article, we propose and evaluate an adaptive weighting radio tomography image algorithm to improve the accuracy of radio frequency device-free localization in the environment with multipath and different intensity of WiFi interference. Field experiments prove that our approach outperforms the state-of-the-art radio frequency device-free localization systems in the environment with multipath and WiFi interference.


Zugehörige Institution(en) am KIT Institut für Technische Informatik (ITEC)
Publikationstyp Zeitschriftenaufsatz
Jahr 2017
Sprache Englisch
Identifikator DOI: 10.1177/1550147716683826
ISSN: 1550-1329, 1550-1477
KITopen ID: 1000068589
Erschienen in International journal of distributed sensor networks
Band 13
Heft 1
Schlagworte Radio tomographic image, multipath, WiFi interference, adaptive weighting, sensor network
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