Analysis of positioning performance of UWB system in metal NLOS environment

Gao, Duanyang; Liu, An; Fu, Jun

doi:10.1109/cac.2018.8623602

Cited by 14 publications

(10 citation statements)

References 7 publications

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“…The error observation equation can be established using the ranging results from different FTs, and then the parameters of the coordinate can be obtained by solving the equation with the least square method, as shown in Equation (20).…”

Section: Single Point Positioningmentioning

confidence: 99%

“…The fine timing measurement (FTM) protocol has been standardized by the Institute of Electrical and Electronics Engineers (IEEE) 802.11-2016 and can provide meter-level positioning accuracy [17] through time of flight (TOF) echo technology [18]. However, just like many other ranging measurements, such as UWB [19,20] and Global Positioning System (GPS) [21,22], one of the major challenges for positioning is the mitigation of NLOS effects.…”

Section: Introductionmentioning

confidence: 99%

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A Wi-Fi FTM-Based Indoor Positioning Method with LOS/NLOS Identification

Wang

et al. 2020

Applied Sciences

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In recent years, many new technologies have been used in indoor positioning. In 2016, IEEE 802.11-2016 created a Wi-Fi fine timing measurement (FTM) protocol, making Wi-Fi ranging more robust and accurate, and providing meter-level positioning accuracy. However, the accuracy of positioning methods based on the new ranging technology is influenced by non-line-of-sight (NLOS) errors. To enhance the accuracy, a positioning method with LOS (line-of-sight)/NLOS identification is proposed in this paper. A Gaussian model has been established to identify NLOS signals. After identifying and discarding NLOS signals, the least square (LS) algorithm is used to calculate the location. The results of the numerical experiments indicate that our algorithm can identify and discard NLOS signals with a precision of 83.01% and a recall of 74.97%. Moreover, compared with the traditional algorithms, by all ranging results, the proposed method features more accurate and stable results for indoor positioning.

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Section: Single Point Positioningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Wi-Fi FTM-Based Indoor Positioning Method with LOS/NLOS Identification

Wang

et al. 2020

Applied Sciences

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“…This simple optimization based method can be easily implemented through the many available efficient numerical solvers. Alternatively, iterative least square solutions are also applied in positioning problems [20].…”

Section: Position Calculation Methodsmentioning

confidence: 99%

Development of an UWB based Indoor Positioning System

Molnar

Luspay

2020

2020 28th Mediterranean Conference on Control and Automation (MED)

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The demand for precise indoor positioning is increasing nowadays, since traditional methods, like GPS, cannot be used in indoor environments. Lots of technologies exist that can be used for such purposes, having their own advantages and disadvantages when it comes to positioning. However, it seems that UWB is the most favorable, having the possibility to achieve the best accuracy due to its spectral features. Although, in the past years several companies appeared as a UWB chip and antenna manufacturer providing out-of-the-box solutions, most of them only have chips or demonstration kits to purchase. The paper shows the development and testing of an UWB indoor positioning system using commercially available hardware and specific software elements in order to allow flexibility required for research purposes.

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“…Although the UWB positioning system performs well for a single group in an ideal environment, it is still unsuitable for indoor environments with rooms, walls, and pillars because of severe NLOS errors [ 33 , 45 ]. The impact of large metal objects is even more significant [ 46 ]. In addition, the anchors can be saved in an aisle-like environment when only a 1D position is required.…”

Section: Multi-group and Multi-dimensional Tdoa Networkmentioning

confidence: 99%

Range-Extension Algorithms and Strategies for TDOA Ultra-Wideband Positioning System

Huang

Chen

Wei

et al. 2023

Sensors

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The Internet of Things (IoT) for smart industry requires the surveillance and management of people and objects. The ultra-wideband positioning system is an attractive solution for achieving centimeter-level accuracy in target location. While many studies have focused on improving the accuracy of the anchor coverage range, it is important to note that in practical applications, positioning areas are often limited and obstructed by furniture, shelves, pillars, or walls, which can restrict the placement of anchors. Furthermore, some positioning regions are located beyond anchor coverage, and a single group with few anchors may not be able to cover all rooms and aisles on a floor due to non-line-of-sight errors causing severe positioning errors. In this work, we propose a dynamic-reference anchor time difference of arrival (TDOA) compensation algorithm to enhance accuracy beyond anchor coverage by eliminating local minima of the TDOA loss function near anchors. We designed a multidimensional and multigroup TDOA positioning system with the aim of broadening the coverage of indoor positioning and accommodating complex indoor environments. By employing an address-filter technique and group-switching process, tags can seamlessly move between groups with a high positioning rate, low latency, and high accuracy. We deployed the system in a medical center to locate and manage researchers with infectious medical waste, demonstrating its usefulness for practical healthcare institutions. Our proposed positioning system can thus facilitate precise and wide-range indoor and outdoor wireless localization.

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Analysis of positioning performance of UWB system in metal NLOS environment

Cited by 14 publications

References 7 publications

A Wi-Fi FTM-Based Indoor Positioning Method with LOS/NLOS Identification

A Wi-Fi FTM-Based Indoor Positioning Method with LOS/NLOS Identification

Development of an UWB based Indoor Positioning System

Range-Extension Algorithms and Strategies for TDOA Ultra-Wideband Positioning System

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