A Generalized TDoA/ToA Model for ToF Positioning

Tschirschnitz, Maximilian von; Wagner, Marcel; Pahl, Marc-Oliver; Carle, Georg

doi:10.1109/ipin.2019.8911742

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…Anchor Nodes Tag Nodes Simple ToA ((III-A)) t 1 · ( B − A ) RX TX TWR (III-B) This approach is related to our efforts in designing Double Pulsed Positioning [15] a novel infrastructure-less and synchronisation-free ToF method.…”

Section: Clock-drift Induced Errormentioning

confidence: 99%

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Clock Error Analysis of Common Time of Flight based Positioning Methods

Tschirschnitz

Wagner

Pahl

et al. 2019

2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

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Today, many applications such as production or rescue settings rely on highly accurate entity positioning. Advanced Time of Flight (ToF) based positioning methods provide highaccuracy localization of entities. A key challenge for ToF based positioning is to synchronize the clocks between the participating entities. This paper summarizes and analyzes ToA and TDoA methods with respect to clock error robustness. The focus is on synchronization-less methods, i.e. methods which reduce the infrastructure requirement significantly. We introduce a unified notation to survey and compare the relevant work from literature. Then we apply a clock error model and compute worst case location-accuracy errors. Our analysis reveals a superior error robustness against clock errors for so called Double-Pulse methods when applied to radio based ToF positioning.

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Section: Clock-drift Induced Errormentioning

confidence: 99%

“…This would keep the advantages of DJKM like allowing unlimited number of Tags with the advantages of high robustness against clock errors. This approach is related to our efforts in designing Double Pulsed Positioning [15] a novel infrastructure-less and synchronisation-free ToF method.…”

Section: Clock-drift Induced Errormentioning

confidence: 99%

Clock Error Analysis of Common Time of Flight based Positioning Methods

Tschirschnitz

Wagner

Pahl

et al. 2019

2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

Self Cite

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“…Compared with the above indoor wireless positioning technology, ultrawideband (UWB) positioning technology has the characteristics of high time resolution and strong anti-multipath ability, and it can achieve higher positioning precision by using the method based on time of arrival (TOA) and time difference of arrival (TDOA) [1]. However, both TOA and TDOA algorithms need accurate time measurement values to calculate the distance values.…”

Section: Introductionmentioning

confidence: 99%

UWB Wireless Positioning Method Based on LightGBM

Cui,

Li,

et al. 2023

Preprint

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In the ultra-wideband indoor positioning sceneraio, the non-line of sight (NLOS) propagation may be caused by obstacles, which may lead to the deviation of ranging value and affect the positioning precision. Therefore, we propose a NLOS identification and error regression positioning algorithm based on light gradient boosting machine (LightGBM). Firstly, ReliefF algorithm combined with Spearman correlation coefficient is used to analyze the feature correlation, and eight channel features such as total channel impulse response power and standard deviation of noise are selected as NLOS identification features. Then, we adopt genetic algorithm to optimize the hyperparameters of LightGBM for NLOS identification. On this basis, the proposed error regression model based on convolutional neural network (CNN) combined with LightGBM is used to correct the ranging results, so as to achieve highprecision positioning. Through the verification on the public dataset, the NLOS identification accuracy reached 91.8%, and the positioning precision is improved by 45cm after correcting the ranging results.

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“…ToA and TDoA are also more suitable for omni-directional hydrophone beam patterns and do not require array signal processing. Using hybrid approaches, the information from both approaches can also be fused to reduce the estimation errors [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of ToA and TDOA Based Tracking In Underwater Multipath Environments Using Bernoulli Filter

Güneş

2023

Polish Maritime Research

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Underwater localization and tracking is a challenging problem and Time-of-Arrival and Time-Difference-of-Arrival approaches are commonly used. However, the performance difference between these approaches is not well understood or analysed adequately. There are some analytical studies for terrestrial applications with the assumption that the signal arrival times are not correlated. However, this assumption is not valid for underwater propagation. To present the distinct nature of the problem under the water, a high-fidelity simulation is required. In this study, Time-of-Arrival and Time-Difference-of-Arrival approaches are compared using a ray tracing based propagation model. Moreover, basic methods to mitigate the multipath propagation problem are also implemented for Bernoulli filters. Since the Bernoulli filter is a joint detection and tracking filter, the detection performance is also analysed. Comparisons are done for all combinations of filter and measurement approaches. The results can help to design underwater localization systems better suited to the needs.

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A Generalized TDoA/ToA Model for ToF Positioning

Cited by 5 publications

References 7 publications

Clock Error Analysis of Common Time of Flight based Positioning Methods

Clock Error Analysis of Common Time of Flight based Positioning Methods

UWB Wireless Positioning Method Based on LightGBM

Performance Comparison of ToA and TDOA Based Tracking In Underwater Multipath Environments Using Bernoulli Filter

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