001     841208
005     20250129092446.0
024 7 _ |a 10.1109/LSENS.2017.2749000
|2 doi
024 7 _ |a altmetric:32011774
|2 altmetric
024 7 _ |a WOS:000722118000013
|2 WOS
037 _ _ |a FZJ-2017-08301
082 _ _ |a 621.3
100 1 _ |a Xiong, Renhai
|0 P:(DE-Juel1)136929
|b 0
245 _ _ |a Development of a Novel Indoor Positioning System With mm-Range Precision Based on RF Sensors Network
260 _ _ |a New York, NY
|c 2017
|b IEEE
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1516277936_19711
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Indoor localization has become increasingly important for sports analysis, automation as well as for mass market products like entertainment systems. For such applications, an increasing accuracy of a few centimeters or even millimeters is desired. But it is a huge challenge to develop a positioning system of that high accuracy in an indoor environment with severe multipath characteristics. A high precision real-time indoor positioning system (IPS) was designed, implemented and tested which is capable to achieve a position accuracy in sub-centimeter range. The proposed system implements the positioning based on time difference of arrival (TDoA) technology with the usage of on-off keying (OOK) modulated ultra-high frequency signals (UHF) in order to deal with multipath interference and achieve the high positioning precision. This paper describes the design and evaluation of the demonstrator system. The first measurements are performed within a fully furnished laboratory environment and already proof a positioning precision of a radio frequency (RF) source with a root-mean-square error (RMSE) of 8 millimeters. Moreover, the low latency of less than 2 milliseconds and the high update rate of 100 Hz make the system suitable for real-time applications.
536 _ _ |a 573 - Neuroimaging (POF3-573)
|0 G:(DE-HGF)POF3-573
|c POF3-573
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a van Waasen, Stefan
|0 P:(DE-Juel1)142562
|b 1
|e Corresponding author
700 1 _ |a Rheinlander, Carl
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Wehn, Norbert
|0 P:(DE-HGF)0
|b 3
773 _ _ |a 10.1109/LSENS.2017.2749000
|g Vol. 1, no. 5, p. 1 - 4
|0 PERI:(DE-600)2889356-6
|n 5
|p 1 - 4
|t IEEE sensors letters
|v 1
|y 2017
|x 2475-1472
856 4 _ |u https://juser.fz-juelich.de/record/841208/files/08025589.pdf
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/841208/files/08025589.gif?subformat=icon
|x icon
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/841208/files/08025589.jpg?subformat=icon-1440
|x icon-1440
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/841208/files/08025589.jpg?subformat=icon-180
|x icon-180
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/841208/files/08025589.jpg?subformat=icon-640
|x icon-640
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/841208/files/08025589.pdf?subformat=pdfa
|x pdfa
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/841208/files/LSENS2749000.pdf
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/841208/files/LSENS2749000.gif?subformat=icon
|x icon
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/841208/files/LSENS2749000.jpg?subformat=icon-1440
|x icon-1440
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/841208/files/LSENS2749000.jpg?subformat=icon-180
|x icon-180
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/841208/files/LSENS2749000.jpg?subformat=icon-640
|x icon-640
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/841208/files/LSENS2749000.pdf?subformat=pdfa
|x pdfa
|y Restricted
909 C O |o oai:juser.fz-juelich.de:841208
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)136929
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)142562
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-573
|2 G:(DE-HGF)POF3-500
|v Neuroimaging
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2017
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)ZEA-2-20090406
|k ZEA-2
|l Zentralinstitut für Elektronik
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)ZEA-2-20090406
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)PGI-4-20110106


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21