UWB Positioning Analysis and Algorithm Research

Zhang, Yuekui; Chu, Yunxia; Fu, Youhua; Li, Zhixiang; Song, Yufei

doi:10.1016/j.procs.2021.12.271

Cited by 13 publications

(5 citation statements)

References 2 publications

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“…The single positioning level of the UWB system is to lay positioning base stations and positioning labels, transmit information through the short-time pulse radio generated by the pulse generator, and install positioning labels on the pile foundation. The label communicates regularly with the base station in the range to complete the positioning [18][19][20] .…”

Section: Combining Positioning Technologiesmentioning

confidence: 99%

Application and comparative analysis of Intelligent Monitoring Technology for Grouted Pile Construction based on Abaqus

Wu,

Jang,

Zhao

et al. 2024

Preprint

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In order to realize the intelligent monitoring of the high-precision positioning of the hole position and the real-time control of the verticality of the pile, an intelligent monitoring system was developed based on the combination positioning technology of BDS and UWB and the biaxial tilt sensor, and the numerical simulation and comparative analysis of the verticality of the pile were carried out by abaqus. The deviation of pile foundation in different directions and the deviation of pile body are controlled by the monitoring system, and abnormal warning is made when the deviation exceeds the permissible range.Through the application of intelligent monitoring system in the pile foundation engineering area of Changshui Airport, it is found that the plane offset and perpendicularity of all piles meet the standard requirements and the construction error is controlled at a small value. The results show that the application of intelligent inspection system can not only ensure the construction quality of pile foundation, but also meet and improve the level of digitization and information technology of smart construction site.

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Section: Combining Positioning Technologiesmentioning

confidence: 99%

Application and comparative analysis of Intelligent Monitoring Technology for Grouted Pile Construction based on Abaqus

Wu,

Jang,

Zhao

et al. 2024

Preprint

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“…UWB positioning is an indoor high-precision positioning method that achiev rate position estimation by exploiting the characteristics of ultra-wideband sign UWB has the advantages of wide bandwidth, narrow pulse, and high time res which are mainly reflected in the TOA-based measurement. Among them, the UW tioning technique based on TOA of the received signal is widely researched by v its ranging accuracy and high technical feasibility, which basically achieves sub-m sitioning accuracy [27,28]. It calculates the distance by measuring the signal trans time between the tag and the base station BS1, BS2, and BS3 and then draws a cir tered on the base station to determine the position, as shown in Figure 1.…”

Section: Uwb Indoor Localization Models and Algorithmsmentioning

confidence: 99%

A Combined UWB/IMU Localization Method with Improved CKF

Ji,

Duan,

2024

Sensors

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Aiming at the problem that ultra-wide band (UWB) cannot be accurately localized in environments with large noise variations and unknown statistical properties, a combinatorial localization method based on improved cubature (CKF) is proposed. First, in order to overcome the problem of inaccurate local approximation or even the inability to converge due to the initial value not being set near the optimal solution in the process of solving the UWB position by the least-squares method, the Levenberg–Marquardt algorithm (L–M) is adopted to optimally solve the UWB position. Secondly, because UWB and IMU information are centrally fused, an adaptive factor is introduced to update the measurement noise covariance matrix in real time to update the observation noise, and the fading factor is added to suppress the filtering divergence to achieve an improvement for the traditional CKF algorithm. Finally, the performance of the proposed combined localization method is verified by field experiments in line-of-sight (LOS) and non-line-of-sight (NLOS) scenarios, respectively. The results show that the proposed method can maintain high localization accuracy in both LOS and NLOS scenarios. Compared with the Extended Kalman filter (EKF), unbiased Kalman filter (UKF), and CKF algorithms, the localization accuracies of the proposed method in NLOS scenarios are improved by 25.2%, 18.3%, and 11.3%, respectively.

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“…Zhuoqi [120] and Antonio et.al [121] used a particle filter to reduce the NLOS effect. Kalman filter and several of its developments such as EKF and UKF are often proposed by researchers to reduce measurement noise and reduce NLOS effects [122], [47], [50], [123] [124].…”

Section: ) Accuracymentioning

confidence: 99%

“…Estimation in a 3-dimensional environment can produce a larger error compared to a 2dimensional and involves more anchors. The location estimation optimization methods proposed by researchers include residual weighting [90], selection of subset anchors [53] [54] [148], weighted least squares, and combining techniques ranging [149] and least square matrix [123]. Ben et.al.…”

Section: The Nlos and Multipath Environmentmentioning

confidence: 99%

Future Research and Trends in Ultra-Wideband Indoor Tag Localization

Hapsari,

Munadi,

Erfianto

et al. 2024

IEEE Access

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Indoor tag localization technology is one area of research applied to positioning, tracking, and navigation. UWB is a signal that is widely used for indoor tag localization with the consideration of having higher accuracy, wide bandwidth, and low power consumption. The diversity and breadth of research in the field of indoor tag localization can be confusing for new researchers to find out how this research has progressed until this day. The use of other sensors besides UWB in indoor tag localization is an alternative solution offered, thus obscuring the trend of UWB research on indoor tag localization. The way to find out whether indoor tag localization research using UWB still has a good trend and has research opportunities is to read paper reviews from previous researchers. However, until now no one has reviewed the previous paper review using the SMS and SLR methods. The SMS method is quantitative which directs the paper collection to the intended research area so it can be mapped properly. SMS is the process of identifying, categorizing, and analyzing existing literature that is relevant to a certain research topic. Meanwhile, the SLR method is qualitative which makes paper discussions sharper and more focused. SLR is the process of collecting and critically analyzing multiple research studies or papers through a systematic process. It aims to synthesize the findings of the studies and conclude the state of the art on the topic. This paper describes the literacy results of the paper using the SMS and SLR methods to thoroughly discuss research developments on UWB indoor tag localization. The discussion includes research developments and topic areas of indoor tag localization from 2017-2022, trends in the use of UWB in indoor tag localization research, issues and metrics that are carried out in indoor tag localization research, and opportunities for future research. Literacy results show that machine learning, filtering, and sensor fusion are topic areas that are currently being researched on UWB indoor tag localization. In general, every research optimizes performance metrics, namely accuracy, scalability, energy efficiency, latency, cost, and complexity. Each optimized metric related to different issues will be represented in the form of a taxonomy for easy understanding and explained in detail in this paper. Several future promising research opportunities are described in this paper to provide insight to other researchers to dig deeper into this research field.

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UWB Positioning Analysis and Algorithm Research

Cited by 13 publications

References 2 publications

Application and comparative analysis of Intelligent Monitoring Technology for Grouted Pile Construction based on Abaqus

Application and comparative analysis of Intelligent Monitoring Technology for Grouted Pile Construction based on Abaqus

A Combined UWB/IMU Localization Method with Improved CKF

Future Research and Trends in Ultra-Wideband Indoor Tag Localization

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