UWB-Based Indoor Positioning System With Infinite Scalability

Santoro, Luca; Nardello, Matteo; Brunelli, Davide; Fontanelli, Daniele

doi:10.1109/tim.2023.3282299

Cited by 21 publications

(7 citation statements)

References 33 publications

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“…2(d) shows, the concurrent TDoA time scheme involves tags receiving signals from multiple base stations without having to transmit any signals themselves. This greatly increases scalability, as additional passive tags can be easily added to the system [39][40][41][42][43][44]. There are concurrent systems in conjunction with other UWB positioning methods, including Concurrent TWR [42], Concurrent TDoA [40], and Concurrent AoA [41].…”

Section: Concurrent Techniquementioning

confidence: 99%

UI-MoCap: An Integrated UWB-IMU Circuit Enables 3D Positioning and Enhances IMU Data Transmission

Zhong,

Zhang,

Sun

et al. 2024

IEEE Trans. Neural Syst. Rehabil. Eng.

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While inertial measurement unit (IMU)-based motion capture (MoCap) systems have been gaining popularity for human movement analysis, they still suffer from long-term positioning errors due to accumulated drift and inefficient data transmission via Wi-Fi or Bluetooth. To address this problem, this study introduces an integrated ultrawideband (UWB)-IMU system, named UI-MoCap, designed for simultaneous 3D positioning as well as wireless IMU data transmission through UWB pulses. The UI-MoCap comprises mobile UWB tags and hardwaresynchronized UWB base stations. Each UWB tag, a compact circular PCB with a 3.4cm diameter, houses a nineaxis IMU unit and a UWB transceiver for data transmission. The base stations are equipped with a UWB transceiver and an Ethernet controller, ensuring efficient reception and management of messages from multiple tags. Experiments were conducted to evaluate the system's validity and reliability of 3D positioning and IMU data transmission. The results demonstrate that UI-MoCap achieves centimeterlevel 3D positioning accuracy and maintains consistent positioning performance over time. Moreover, UI-MoCap exhibits high update rates and a minimal packet loss rate for IMU data transmission, significantly outperforming Wi-Fi-based transmission techniques. Future work will explore the fusion of UWB and IMU technologies to further enhance positioning performance, with a focus on human movement analysis and rehabilitation applications.

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Section: Concurrent Techniquementioning

confidence: 99%

UI-MoCap: An Integrated UWB-IMU Circuit Enables 3D Positioning and Enhances IMU Data Transmission

Zhong,

Zhang,

Sun

et al. 2024

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…In the system integration of GUULS, the ranging phase (i.e. measuring the distances between anchors and tag) is conventionally based on the TDoA technique [18] whereas the Multilateration method is normally applied for the location estimation process of the system [15], [47]. It should be noted that the mentioned ranging and positioning methods are not technically bounded, though a common practice in the field.…”

Section: B the Three Schemes Of Time-based Uwb Localizationmentioning

confidence: 99%

“…Overall, the most notable strength of GUULS is that the number of tags in the system can be scaled up to the infinity [15]- [17], [21] (i.e., there is no limit for the number of tags in it). Moreover, the multiplexing scheme is generally not required in the system integration process of GUULS (Table I).…”

Section: Feature Comparison Of Uwb Localization Schemesmentioning

confidence: 99%

Bidirectional UWB Localization: A Review on an Elastic Positioning Scheme for GNSS-Deprived Zones

Sang,

Adams,

Hesse

et al. 2023

J. Ind. Sea. Pos. Nav.

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A bidirectional Ultra-Wideband (UWB) localization scheme is one of the three widely adopted design integration processes commonly used in time-based UWB positioning systems. The key property of bidirectional UWB localization is its ability to serve both navigation and tracking tasks within a single localization scheme on demand. Traditionally, navigation and tracking in wireless localization systems were treated as separate entities due to distinct applicable use-cases and methodological needs in each implementation process. Therefore, the ability to flexibly or elastically combine two unique positioning perspectives (navigation and tracking) within a single scheme can be regarded as a paradigm shift in the way location-based services are conventionally observed. This article reviews the mentioned bidirectional UWB localization from the perspective of a flexible and versatile positioning topology and highlights its potential in the field. In this regard, the article comprehensively describes the complete system model of the bidirectional UWB localization scheme using modular processes. It also discusses the demonstrative evaluation of two system integration processes and conducts a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis of the scheme. Furthermore, the prospect of the presented bidirectional localization scheme for achieving precise location estimation in 5G/6G wireless mobile networks, as well as in Wi-Fi fine-time measurement-based positioning systems was briefly discussed.

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“…In contrast, passive positioning systems involve entities that either do not carry electronic devices (for example, in healthcare applications [6]- [8], on-body sensors may not always be practical [9], [10]) or, if they do have electronic devices, do not actively contribute to the positioning algorithm and instead act as passive listeners. An illustrative example of the latter is [11], where the target determines its position by listening to messages broadcasted from the infrastructure, resembling a traditional GPS. Passive positioning systems, however, place a significant emphasis on device-free localization (DFL) systems, which involve entities without electronic devices [12].…”

Section: Introductionmentioning

confidence: 99%

UWB Bistatic Radar Sensor: Across Channels Evaluation

Santoro,

Nardello,

Fontanelli

et al. 2023

IEEE Sens. Lett.

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Device-Free localization is a promising technique for indoor positioning in infrastructures, as it eliminates the reliance on custom and costly hardware. In this study, we present the development of a compact and cost-effective bistatic radar sensor that utilizes DW3000 UWB transceivers. The effectiveness of the sensor was evaluated through comprehensive assessments of various channels, with particular emphasis on channel 9, employing Channel Impulse Response analysis. To enhance the accuracy of time delay estimation for multipath components scattered by moving targets, we developed a weighting function. The experimental results demonstrate the potential of device-free localization sensors as a viable solution for indoor positioning systems, offering enhanced accessibility and cost reduction compared to traditional approaches.

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UWB-Based Indoor Positioning System With Infinite Scalability

Cited by 21 publications

References 33 publications

UI-MoCap: An Integrated UWB-IMU Circuit Enables 3D Positioning and Enhances IMU Data Transmission

UI-MoCap: An Integrated UWB-IMU Circuit Enables 3D Positioning and Enhances IMU Data Transmission

Bidirectional UWB Localization: A Review on an Elastic Positioning Scheme for GNSS-Deprived Zones

UWB Bistatic Radar Sensor: Across Channels Evaluation

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