2020
DOI: 10.1109/tvt.2020.2972578
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UWB System for Indoor Positioning and Tracking with Arbitrary Target Orientation, Optimal Anchor Location, and Adaptive NLOS Mitigation

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Cited by 56 publications
(25 citation statements)
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“…The UWB positioning system, using two-way ranging (TWR) and NLOS mitigation, was proposed in our previous work [ 25 ]. However, the positioning interval increases drastically when there are a large number of devices that need to be located.…”
Section: Uwb Positioning System With Tdoa Algorithmmentioning
confidence: 99%
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“…The UWB positioning system, using two-way ranging (TWR) and NLOS mitigation, was proposed in our previous work [ 25 ]. However, the positioning interval increases drastically when there are a large number of devices that need to be located.…”
Section: Uwb Positioning System With Tdoa Algorithmmentioning
confidence: 99%
“…The positioning accuracy depends on the time resolution of the propagating wave. Ultrasound is only suitable for line-of-sight (LOS) conditions, while UWB can be applied in non-line-of-sight (NLOS) conditions [ 25 ].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The UWB sensor can also be used for the localization of various objects, such as mobile robots ( Chen et al, 2020 ; Shi et al, 2020 ), flying drones ( Wang, Marelli & Fu, 2021 ; González-Castaño et al, 2021 ; Hyun et al, 2019 ), and users ( Zhang et al, 2019 ; Knobloch, 2017 ), because it can provide precise distance measurements based on the time-of-flight (TOF) principle at short-range regions while using low power. In addition, since the UWB distance sensor is inexpensive, the UWB-based localization system can advantageously be implemented at an economical cost, even though multiple UWB sensor modules are used.…”
Section: Introductionmentioning
confidence: 99%
“…Yang [ 17 ] proposed a Sparse Pseudo-input Gaussian Process (SPGP) based on the NLoS method, which has low complexity compared with conventional approaches. Chen et al [ 18 ] investigated NLoS mitigation under different machine learning methods such as long short-term memory (LSTM), convolutional neural network (CNN), and deep neural network (DNN). In some fusion strategies, the data under an NLoS scenario are discarded directly.…”
Section: Introductionmentioning
confidence: 99%