Abstract | ||
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Indoor positioning has become highly important because of the failure of GPS in such areas. Many Wireless Local Area Networks (WLAN) indoor localization studies use the fingerprinting technique. In this study, a new positioning system is proposed based on broadcast FM as a signal of opportunity, with significant benefits for indoor positioning. This localization system uses FM signal strength fingerprinting. The deterministic approach of fingerprinting is considered, and several algorithms are compared. The results demonstrate a minimum mean distance error of 2.96m for the K-Weighted Nearest Neighbors (KWNN) algorithm with K=6. The comparison between using fingerprinting for FM and Wi-Fi is also discussed. |
Year | DOI | Venue |
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2011 | 10.1109/IPIN.2011.6071932 | Indoor Positioning and Indoor Navigation |
Keywords | Field | DocType |
Global Positioning System,fingerprint identification,frequency modulation,indoor radio,FM radio signal,FM signal strength fingerprinting,KWNN algorithm,broadcast FM,fingerprinting approach,indoor localization,indoor positioning,k-weighted nearest neighbor,localization system,mean distance error,positioning system,formatting,insert,style,styling | Transmitter,Broadcasting,Wireless,Fingerprint recognition,Electronic engineering,Global Positioning System,Frequency modulation,Engineering,Deterministic system (philosophy),Positioning system | Conference |
ISSN | ISBN | Citations |
2162-7347 | 978-1-4577-1803-8 | 30 |
PageRank | References | Authors |
1.83 | 5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vahideh Moghtadaiee | 1 | 36 | 2.36 |
Andrew G. Dempster | 2 | 30 | 1.83 |
Samsung Lim | 3 | 68 | 12.02 |