Triangulation positioning system based on a static IR beacon-receiver system

Ciężkowski, Maciej

doi:10.1109/mmar.2017.8046803

Cited by 11 publications

(3 citation statements)

References 12 publications

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“…Solve for the three-dimensional coordinates of the mobile tag as X(x, y, z). Assuming that the initial value of the 3D coordinates of the mobile tag is X 0 and δX is the correction number, obtained from Equation (7). In Equation 12, 𝑑 , , 𝑑 , ,… 𝑑 , are the distances between the base station and the initial 3D coordinates of the mobile tag.…”

Section: Optimization Based On Least Squares Positioningmentioning

confidence: 99%

“…TOF uses the round-trip time of the radio signal to calculate the distance between the mobile tag and the base station, which reduces the time synchronization between the base station and the tag [5][6]. (2) Positioning algorithms: Commonly used indoor positioning algorithms include the following: triangular center-of-mass positioning algorithm, least squares positioning algorithm, Chan's positioning algorithm, and so on [7]. UWB least squares localization is one of the most commonly used positioning algorithms, with its simple structure, low computational effort, and high accuracy.…”

Section: Introductionmentioning

confidence: 99%

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Research on UWB indoor 3D positioning algorithm based on the least squares method

Cao

et al. 2023

J. Phys.: Conf. Ser.

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With the increased use of rescue robots in indoor scenarios, the requirements for indoor location services are becoming more stringent. Traditional GPS positioning cannot provide accurate location information indoors, while ultra-wideband (UWB) has been widely used for indoor positioning due to its high accuracy and penetrating power. When solving 3D positioning coordinates using UWB least squares in line-of-sight situations, the positioning accuracy is easily affected by the layout height of the base station. In this paper, we first improve the positioning algorithm and then find a better way of base station layout in the actual positioning environment to improve the tag positioning accuracy. The algorithm improvement is based on the following ideas: firstly, the initial positioning results of the tag are obtained using UWB least squares and spatial geometric relations, and the 3D coordinates of the tag are solved using Gauss-Newton iterative method, and finally combined with the Kalman filter for optimization. The base stations are laid out in such a way that adjacent base stations are not at the same horizontal height and relative base stations are at the same horizontal height.

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Section: Optimization Based On Least Squares Positioningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on UWB indoor 3D positioning algorithm based on the least squares method

Cao

et al. 2023

J. Phys.: Conf. Ser.

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“…The second type (active RFID) tags send out the appropriate signal to the anchor every few seconds (Nakao et al 2011). Many methods, such as triangulation software, are used to determine the tagged person's position (Ciezkowski 2017). Nonetheless, RTLS solution is used to automatically track the location of objects or persons in real time.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart learning environment: Teacher’s role in assessing classroom attention

Bdiwi¹,

Runz²,

Faïz³

et al. 2019

Research in Learning Technology

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The main purpose of this article is to investigate the impact of teacher's position on students' performance in higher education. A new pedagogical approach based on collaborative learning is used due to the design of a smart learning environment (SLE). This workspace uses, respectively, information and communication technologies (ICT) and radio frequency identification (RFID)-based indoor positioning system in order to examine students' perceptions and the involvement of groups into this smart classroom. The merge of interactive multimedia system, ubiquitous computing and several handheld devices should lead to a successful active learning process. Firstly, we provide a detailed description of the proposed collaborative environment using mainly new technologies and indoor location system serving as a platform for evaluating attention. The research provides an obvious consensus on the teacher's role in assessing classroom attention. We discuss our preliminary results on how teacher's position influences essentially students' participation. Our first experiments show that the integration of novel technologies in the area of higher education is extremely promoting the traditional way of teaching. The smart classroom model has been recommended to support this evolution. As a result, the found results indicate that the teacher's position increases the learner's motivation, engagement and effective learning.

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Compensating Position Measurement Errors for the IR Static Triangulation System

Ciężkowski

Wolniakowski

2018

Advances in Service and Industrial Robotics

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Triangulation positioning system based on a static IR beacon-receiver system

Cited by 11 publications

References 12 publications

Research on UWB indoor 3D positioning algorithm based on the least squares method

Research on UWB indoor 3D positioning algorithm based on the least squares method

Smart learning environment: Teacher’s role in assessing classroom attention

Compensating Position Measurement Errors for the IR Static Triangulation System

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