Anchor Calibration for Real-Time-Measurement Localization Systems

Krapež, Peter; Munih, Marko

doi:10.1109/tim.2020.3005258

Cited by 17 publications

(6 citation statements)

References 27 publications

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“…The authors in [ 105 ] present a novel approach to a self-localizing anchor-system calibration that uses a calibration unit (CU) for improved localization accuracy. This study confirmed that the use of the CU decreases the average positional error of the anchors in 3D UWB localization systems.…”

Section: Technologies For 3d Localizationmentioning

confidence: 99%

A Survey of 3D Indoor Localization Systems and Technologies

Sesyuk

Ioannou

Raspopoulos

2022

Sensors

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Indoor localization has recently and significantly attracted the interest of the research community mainly due to the fact that Global Navigation Satellite Systems (GNSSs) typically fail in indoor environments. In the last couple of decades, there have been several works reported in the literature that attempt to tackle the indoor localization problem. However, most of this work is focused solely on two-dimensional (2D) localization, while very few papers consider three dimensions (3D). There is also a noticeable lack of survey papers focusing on 3D indoor localization; hence, in this paper, we aim to carry out a survey and provide a detailed critical review of the current state of the art concerning 3D indoor localization including geometric approaches such as angle of arrival (AoA), time of arrival (ToA), time difference of arrival (TDoA), fingerprinting approaches based on Received Signal Strength (RSS), Channel State Information (CSI), Magnetic Field (MF) and Fine Time Measurement (FTM), as well as fusion-based and hybrid-positioning techniques. We provide a variety of technologies, with a focus on wireless technologies that may be utilized for 3D indoor localization such as WiFi, Bluetooth, UWB, mmWave, visible light and sound-based technologies. We critically analyze the advantages and disadvantages of each approach/technology in 3D localization.

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Section: Technologies For 3d Localizationmentioning

confidence: 99%

A Survey of 3D Indoor Localization Systems and Technologies

Sesyuk

Ioannou

Raspopoulos

2022

Sensors

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“…The available SL approaches use ranging [ 26 ], angle [ 27 ], or inertial measurements [ 28 ]. Fusion algorithms are required to integrate such measurement [ 29 ], like multidimensional scaling [ 30 ], semidefinite programming [ 31 ], or trilateration approaches [ 32 , 33 ].…”

Section: Introductionmentioning

confidence: 99%

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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“…Decawave DW1000 modules are analyzed also in [13], where the ranging accuracy is evaluated in an heavy machines laboratory, while the MDEK1000 is evaluated in [14], [15]. Several asynchronous UWB localization solutions are presented in [16]- [18], while [19] and [20] focus on anchor calibration and error correction in UWB networks, respectively. Lastly, a joint Radio Frequency Identification (RFID) and UWB system is developed in [21] to deliver enhanced location awareness in intelligent warehouse management systems.…”

Section: Introductionmentioning

confidence: 99%

UWB Localization in a Smart Factory: Augmentation Methods and Experimental Assessment

Barbieri

Brambilla

Trabattoni

et al. 2021

IEEE Trans. Instrum. Meas.

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The advent of the fourth industrial revolution (Industry 4.0) aims at increasing automation and efficiency in manufacturing processes by the adoption of information and communication technologies. Several of the proposed solutions rely on precise localization of material, equipment or operators. This article investigates the employment of Ultra WideBand (UWB) real-time location systems (RTLS) in a factory environment and proposes an augmentation technique to mitigate the impairments that arise in such a complex scenario. A Bayesian filtering method is developed to jointly track the motion dynamics and the time-varying visibility conditions of the UWB antennas, with particle-based implementation to deal with the non-linearity of the UWB measurements. Laboratory tests and industrial experiments are carried out to evaluate the performance of three commercial off-the-shelf UWB technologies, namely Decawave, Sewio and Ubisense. The experimental data are then used to calibrate and test the developed filtering technique, showing that it is possible to significantly reduce the positioning error originating from dense multipath and NLOS effects by jointly tracking the target dynamics and visibility conditions.

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Anchor Calibration for Real-Time-Measurement Localization Systems

Cited by 17 publications

References 27 publications

A Survey of 3D Indoor Localization Systems and Technologies

A Survey of 3D Indoor Localization Systems and Technologies

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

UWB Localization in a Smart Factory: Augmentation Methods and Experimental Assessment

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