Modeling distance and bandwidth dependency of toa-based uwb ranging error for positioning

G Bellusci; GJM Janssen; J Yan; CCJM Tiberius

doi:doi:10.1155/2009/468597

Modeling distance and bandwidth dependency of toa-based uwb ranging error for positioning

G Bellusci, GJM Janssen, J Yan, CCJM Tiberius

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

A statistical model for the range error provided by TOA estimation using UWB signals is given, based on UWB channel measurements between 3.1 and 10.6¿GHz. 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. The distance and bandwidth dependency of both the mean and the standard deviation of the range error has been analyzed, and insight is given in the different phenomena which affect the estimation accuracy. A possible application of the model to weighted least squares positioning is finally investigated. Noticeable improvements compared to the traditional least squares method have been obtained.

Original language	Undefined/Unknown
Pages (from-to)	1-4
Number of pages	4
Journal	Journal of Electrical and Computer Engineering
Volume	2009
DOIs	https://doi.org/doi:10.1155/2009/468597
Publication status	Published - 2009

Bibliographical note

Peerlijst 2010 ?

Keywords

academic journal papers
Vakpubl., Overig wet. > 3 pag

Access to Document

doi:10.1155/2009/468597

Cite this

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abstract = "A statistical model for the range error provided by TOA estimation using UWB signals is given, based on UWB channel measurements between 3.1 and 10.6¿GHz. 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. The distance and bandwidth dependency of both the mean and the standard deviation of the range error has been analyzed, and insight is given in the different phenomena which affect the estimation accuracy. A possible application of the model to weighted least squares positioning is finally investigated. Noticeable improvements compared to the traditional least squares method have been obtained.",

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T1 - Modeling distance and bandwidth dependency of toa-based uwb ranging error for positioning

AU - Bellusci, G

AU - Janssen, GJM

AU - Yan, J

AU - Tiberius, CCJM

N1 - Peerlijst 2010 ?

PY - 2009

Y1 - 2009

N2 - A statistical model for the range error provided by TOA estimation using UWB signals is given, based on UWB channel measurements between 3.1 and 10.6¿GHz. 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. The distance and bandwidth dependency of both the mean and the standard deviation of the range error has been analyzed, and insight is given in the different phenomena which affect the estimation accuracy. A possible application of the model to weighted least squares positioning is finally investigated. Noticeable improvements compared to the traditional least squares method have been obtained.

AB - A statistical model for the range error provided by TOA estimation using UWB signals is given, based on UWB channel measurements between 3.1 and 10.6¿GHz. 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. The distance and bandwidth dependency of both the mean and the standard deviation of the range error has been analyzed, and insight is given in the different phenomena which affect the estimation accuracy. A possible application of the model to weighted least squares positioning is finally investigated. Noticeable improvements compared to the traditional least squares method have been obtained.

KW - academic journal papers

KW - Vakpubl., Overig wet. > 3 pag

U2 - doi:10.1155/2009/468597

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JO - Journal of Electrical and Computer Engineering

JF - Journal of Electrical and Computer Engineering

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