Improved UWB TDoA-Based Positioning Using a Single Hotspot for Industrial IoT Applications

Martalò, Marco; Perri, S.; Verdano, G.; Mola, Francesco De; Monica, Francesco; Ferrari, Gianluigi

doi:10.1109/tii.2021.3111449

Cited by 31 publications

(28 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Authors of [112] have developed a TDoA-Based positioning system using a single hotspot. This hotspot consists of anchors placed very close to each other.…”

Section: A Angle Of Arrivalmentioning

confidence: 99%

Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review

et al. 2022

View full text Add to dashboard Cite

Logistics is an important driver for the competitiveness of industries and material supply. The development of smart logistics, powered by precise positioning and communication technologies can significantly improve the efficiency of logistics. The emerging technology of ultra-wideband (UWB) precision positioning has attracted significant attention throughout the previous decade owing to its promising capabilities over other radio frequency-based indoor localisation systems. In addition, UWB is characterised by large bandwidth and data rate, short message length, low transmission power and high penetration capability, which are all favourable for indoor positioning applications. However, UWB localisation technology faces several challenges that are somewhat similar to other technologies, such as mitigating errors that originate from non-line-of-sight (NLOS) situations and tackling signal interference in dense environments, and when required to operate in extreme conditions. This paper reviews the most recent advances made in UWB positioning systems over the last five years, with a focus on high-ranking articles. In addition to going through more conventional solutions to UWB challenges, modern solutions, which involve the use of machine learning and sensor data fusion, are discussed. We highlight the most promising findings of the recently implemented and foreseen UWB positioning systems by providing a summary of each reviewed article. Additionally, we address a major challenge that faces the UWB positioning technology: NLOS situations, focusing on some proposed remedies such as multi-sensor fusion and machine learning. As an application, this study introduces how UWB technology promotes smart logistics by offering indoor positioning to improve efficiencies in the delivery of goods from the source to the customer. Furthermore, it demonstrates the benefits of UWB technology for accurate positioning and tracking of both stationary and moving items, and machinery in an indoor logistics environment.

show abstract

“…Authors of [112] have developed a TDoA-Based positioning system using a single hotspot. This hotspot consists of anchors placed very close to each other.…”

Section: A Angle Of Arrivalmentioning

confidence: 99%

Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Martalo et al. [33] created a scenario of multiple anchors concentrating on a specific hotspot with bounded dimensions while the target can circulate it. The subset Selection (SS) technique is applied to disintegrate symmetries of the anchors to enhance localization precision.…”

Section: Related Workmentioning

confidence: 99%

“…GPS signals can simply be influenced by complex electromagnetic obstructions and impeded by solid materials such as brick or metal. RFID, an exorbitant positioning method, provides uncertain communication ability and lowered positioning accuracy in a large area [33,35].…”

Section: Indoor Localization Based Uwb Sensor Applicationsmentioning

confidence: 99%

“…The UWB sensor guarantees remote sensing by emitting short pulses, having extreme penetration capacities, ensuring short identification time, accomplishing multipath resolutions, security ensured, and low power consumption with robust attributes in harsh conditions [33,34]. These innovations have been utilized in numerous applications, for instance, localization, human action recognition, breathing rate perception, 3D positioning, and multi-human movement [26,29].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Smart factory floor safety monitoring using UWB sensor

Islam

Lee

Kim

2022

IET Science Measure & Tech

View full text Add to dashboard Cite

Chemical asphyxiation at petrochemical factories can provoke the unconsciousness or death of factory workers through suffocation. Some chemicals vaporize and mix with air without showing any warning properties that raise the risk of oxygen deficiency. In light of this, Industry 5.0 focuses more on human‐centricity than technology‐driven implementations to ensure secured and work‐friendly environments in industries. Recently, research on factory safety management dependent on the Internet of things (IoT) sensors have been executed unwaveringly. In this work, the ultra‐wideband (UWB) sensor is adopted to recognize the motion and breathing pattern of workers in smart factory scenarios. After capturing the data from the UWB sensor in real‐time, the proposed dataset is further inspected by the deep learning (DL) and traditional machine learning (ML) approaches. Twofold detection schemes are considered where the movement and vital patterns are distinguished first by the stacked ensemble (SE) and the long short‐term memory (LSTM) frameworks. The Bayesian optimized ensemble learning (EL) and bidirectional (Bi‐LSTM) models are further occupied to analyze abnormalities in the breathing rate of a worker in the smart shop floors. The investigated outcome shows that the DL frameworks (LSTM and Bi‐LSTM) outperformed the others by acquiring 99.90% and 99.94% accuracy in 147 s and 293 s, respectively. The devised perception indicates prominent attainment to the smart factory shop floor, Internet of medical things (IoMT), the smart city paradigm, and e‐health appliances.

show abstract

“…Unlike previous literature, which focuses on "classical" scenarios where the anchors are distributed along the perimeter of the area to be monitored and the target lies inside this area, we consider anchors placed on a single "hotspot" with limited dimensions, whereas the target to be localized lies outside the polytope identified by the anchors, as proposed in [16]. This scenario may be relevant in smart warehouses, where human operators and Automatic Guided Vehicles (AGVs) coexist.…”

mentioning

confidence: 99%

Hybrid UWB-Inertial TDoA-Based Target Tracking With Concentrated Anchors

Martalò

Perri

Verdano

et al. 2023

IEEE Internet Things J.

View full text Add to dashboard Cite

In this paper, hybrid radio/inertial mobile target tracking for accurate and smooth path estimation is considered. The proposed tracking approach builds upon an Ultra Wide-Band (UWB)-based positioning algorithm, based on the Linear Hyperbolic Positioning System (LinHPS), with Time Difference of Arrival (TDoA) processing and anchors concentrated on a single hotspot at the center of the environment where the target moves. First, we design an Adaptive Radio-based Extended Kalman Filter (AREKF), which does not require a priori statistical knowledge of the noise in the target movement model and estimates the measurement noise covariance, at each sampling time, according to a proper LookUp Table (LUT). In order to improve the performance of AREKF, we incorporate inertial data collected from the target and propose three "hybrid" radio/inertial algorithms, denoted as Hybrid Inertial Measurement Unit (IMU)-aided Radio-based EKF (HIREKF), Hybrid Noisy Control EKF (HNCEKF), and Hybrid Control EKF (HCEKF). Our results on experimentally acquired paths show that the proposed algorithms achieve an average instantaneous position estimation error on the order of a few centimeters. Moreover, the minimum target path length estimation error, obtained with HCEKF, is on the order of 6% and 1% for two paths with lengths equal to approximately 17 m and 46 m, respectively.

show abstract

Improved UWB TDoA-Based Positioning Using a Single Hotspot for Industrial IoT Applications

Cited by 31 publications

References 39 publications

Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review

Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review

Smart factory floor safety monitoring using UWB sensor

Hybrid UWB-Inertial TDoA-Based Target Tracking With Concentrated Anchors

Contact Info

Product

Resources

About