NDLI: Model of distance and bandwidth dependency of TOA-based UWB ranging error

Content Provider	IEEE Xplore Digital Library
Author	Bellusci, G. Janssen, G. Yan, J. Tiberius, C.
Copyright Year	2008
Description	Author affiliation: Math. Geodesy & Positioning Group (MGP), Delft Univ. of Technol., Delft (Yan, J.) \|\| Wireless & Mobile Commun. Group (WMC), Delft Univ. of Technol., Delft (Bellusci, G.; Janssen, G.; Tiberius, C.)
Abstract	In this paper, a statistical model for the range error provided by TOA estimation using UWB signals is given. To this purpose, a large set of UWB channel measurements covering the bandwidth between 3.1 and 10.6 GHz has been collected and processed. By analyzing the measurement results, the range error has been modeled as a Gaussian random variable for LOS and as a combination of a Gaussian and an exponential random variable for NLOS propagation. The distance and bandwidth dependency of both the mean and the standard deviation of the range error has been investigated, and an insight in the different phenomena which affect the estimation accuracy, is provided. It is shown that both the signal bandwidth and the distance between the transmitter and the receiver, significantly affect the range error characterization. From the proposed model, the estimation accuracy achieved by TOA-based UWB ranging on the global set of measurements has been derived and compared with the data. For LOS, using the full bandwidth, the range error is at centimeter level; it increases in NLOS due to the additional delay introduced by the propagation through dielectric materials and to the more dense multipath.
Starting Page	193
Ending Page	196
File Size	142186
Page Count	4
File Format	PDF
ISBN	9781424422166
DOI	10.1109/ICUWB.2008.4653448
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-10
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Estimation Bandwidth Distance measurement Data models Random variables Ultra wideband technology
Content Type	Text
Resource Type	Article

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