Design and Implementation of Synchronization-free TDOA Localization System Based on UWB

Wang, W.; Huang, Jun; Cai, Shaotang; Yang, Jun

doi:10.13164/re.2019.0320

Cited by 10 publications

(7 citation statements)

References 24 publications

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“…UWB also has a relation with the term ranging and ranging techniques, namely AoA and TDoA. This was stated by several papers that researched to increase positioning accuracy by carrying out various engineering techniques on TDoA [41], [42], [43], [44], [45] and AoA [46][47] based ranging techniques. Meanwhile, its connection with the term trilateration indicates a positioning method that has been proposed by many researchers to determine the position of a tag using 3 anchors [48].…”

Section: A the Sms Results Of Rq1 Rq2 And Rq3: Trend Bibliometric And...mentioning

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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Section: A the Sms Results Of Rq1 Rq2 And Rq3: Trend Bibliometric And...mentioning

confidence: 99%

Future Research and Trends in Ultra-Wideband Indoor Tag Localization

Hapsari,

Munadi,

Erfianto

et al. 2024

IEEE Access

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“…is problem can be improved by some speci c algorithms for tracking maneuvering targets, such as the Singer algorithm, Interactive Multi-Model algorithm, and so on. System Algorithm Accuracy (cm) Ubisense [22] AOA, TDOA 15-20 Zebra [23] TDOA 30 Sewio [24] TDOA 30-50 Asynchronous [25] TDOA 15.2 Sync-free [26] TDOA 20.4 is article TWR-TDOA-KF 10…”

Section: Conclusion and Discussionmentioning

confidence: 99%

A Real-Time UWB Location and Tracking System Based on TWR-TDOA Estimation and a Simplified MPGA Layout Optimization

Zhu

Huang

Liu

et al. 2022

Mobile Information Systems

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This article designs and implements a 3D moving target positioning and tracking system by using ultrawideband (UWB) technology. The result of the two-way ranging by the time difference of arrival (TWR-TDOA) positioning algorithm is adopted to result in a new resolution that is to resolve the hyperbolic equations. The proposed algorithm is applied to outdoor and indoor scenarios. To minimize the effect of the sensor layout, this article proposes a simplified multi-population genetic algorithm (MPGA) to obtain the optimum distribution of anchors, which can rapidly reduce the number of search iterations. To resolve the low stability of the TDOA algorithm in outdoor and indoor scenarios, the Kalman filter algorithm is utilized to improve the stability and positioning accuracy of this system and a good simulation effect is achieved. The test results show that the system’s positioning error is far less than that of using other methods. The whole system has a feature of high precision, high stability, low complexity, and low cost.

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“…The synchronization-free methods, such as Sequential TDoA (S-TDoA) [17] rely on quick retranslation of the messages by the anchors; consequently, the positioning accuracy is severely limited by the retranslation delay and the clock performance. The research reported in [18] is claimed to be synchronization-free. However, the authors use Kalman filtering for estimation of the clock drift.…”

Section: Introductionmentioning

confidence: 99%

Utilization of Carrier-Frequency Offset Measurements in UWB TDoA Positioning with Receiving Tag

Krška

Navrátil

2023

Sensors

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High-capacity impulse-radio ultra-wideband (IR-UWB) indoor localization systems are typically based on the time difference of arrival (TDoA) principle. When the fixed and synchronized localization infrastructure, the anchors, transmit precisely timestamped messages, a virtually unlimited number of user receivers (tags) are able to estimate their position based on differences in the time of arrival of those messages. However, the drift of the tag clock causes systematic errors at a sufficiently high magnitude to effectively deny the positioning, if left uncorrected. Previously, the extended Kalman filter (EKF) has been used to track and compensate for the clock drift. In this article, the utilization of a carrier frequency offset (CFO) measurement for suppressing the clock-drift related error in anchor-to-tag positioning is presented and compared to the filtered solution. The CFO is readily available in the coherent UWB transceivers, such as Decawave DW1000. It is inherently related to the clock drift, since both carrier and timestamping frequencies are derived from the identical reference oscillator. The experimental evaluation shows that the CFO-aided solution performs worse than the EKF-based solution in terms of accuracy. Nonetheless, with CFO-aiding it is possible to obtain a solution based on measurements from a single epoch, which is favorable especially for power-constrained applications.

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Design and Implementation of Synchronization-free TDOA Localization System Based on UWB

Cited by 10 publications

References 24 publications

Future Research and Trends in Ultra-Wideband Indoor Tag Localization

Future Research and Trends in Ultra-Wideband Indoor Tag Localization

A Real-Time UWB Location and Tracking System Based on TWR-TDOA Estimation and a Simplified MPGA Layout Optimization

Utilization of Carrier-Frequency Offset Measurements in UWB TDoA Positioning with Receiving Tag

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