Antenna Delay Calibration of UWB Nodes

Shah, Shashi; Chaiwong, Krit; Kovavisaruch, La-or; Kaemarungsi, Kamol; Demeechai, Tanee

doi:10.1109/access.2021.3075448

Cited by 9 publications

(3 citation statements)

References 15 publications

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“…Examples are Particle Swarm Optimization (PSO) [ 34 ] and nonparametric method taking into account the antenna delay statistics [ 35 ]. Other procedures rely on genetic-like algorithms [ 36 ] or customized ranging message schemes [ 37 ]. The aforementioned compensation methods target the estimation of the overall antenna delay among any pair of UWB nodes.…”

Section: Introductionmentioning

confidence: 99%

“…The algorithm relies on an iterative procedure for estimating the antenna delay by minimizing the difference between the true and estimated TOF at each UWB node. Compared with other methods such as [ 34 ], the proposed method converges to the optimal solution and can be applied to conventional ranging schemes, avoiding the definition of custom messages as in [ 37 ]. Outlier identification and removal is here addressed by proposing a modified IFA.…”

Section: Introductionmentioning

confidence: 99%

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A Self-Calibrating Localization Solution for Sport Applications with UWB Technology

Piavanini

Barbieri

Brambilla

et al. 2022

Sensors

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This study addressed the problem of localization in an ultrawide-band (UWB) network, where the positions of both the access points and the tags needed to be estimated. We considered a fully wireless UWB localization system, comprising both software and hardware, featuring easy plug-and-play usability for the consumer, primarily targeting sport and leisure applications. Anchor self-localization was addressed by two-way ranging, also embedding a Gauss–Newton algorithm for the estimation and compensation of antenna delays, and a modified isolation forest algorithm working with low-dimensional set of measurements for outlier identification and removal. This approach avoids time-consuming calibration procedures, and it enables accurate tag localization by the multilateration of time difference of arrival measurements. For the assessment of performance and the comparison of different algorithms, we considered an experimental campaign with data gathered by a proprietary UWB localization system.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Self-Calibrating Localization Solution for Sport Applications with UWB Technology

Piavanini

Barbieri

Brambilla

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Moreover, although essential, none of these methods comply with the measurement of the antenna delays of the anchor nodes. Several methods specifically dedicated to the measurement of antenna delays of UWB nodes are available in the literature [ 27 , 31 , 32 , 33 ]. These methods usually differ in the adopted TWR principles [ 19 , 21 , 23 ] and the number of TWR sessions performed between a pair of UWB nodes.…”

Section: Introductionmentioning

confidence: 99%

Node Calibration in UWB-Based RTLSs Using Multiple Simultaneous Ranging

Shah

Kovavisaruch

Kaemarungsi

et al. 2022

Sensors

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Ultra-wideband (UWB) networks are gaining wide acceptance in short- to medium-range wireless sensing and positioning applications in indoor environments due to their capability of providing high-ranging accuracy. However, the performance is highly related to the accuracy of measured position and antenna delay of anchor nodes, which form a reference positioning system of fixed infrastructure nodes. Usually, the position and antenna delay of the anchor nodes are measured separately as a standard initial procedure. Such separate measurement procedures require relatively more time and manual interventions. This paper presents a system that simultaneously measures the position and antenna delay of the anchor nodes. It provides comprehensive mathematical modeling, design, and implementation of the proposed system. An experimental evaluation in a line-of-sight (LOS) environment shows the effectiveness of the anchor nodes, whose position and antenna delay values are measured by the proposed system, in localizing a mobile node.

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