Leveraging Isochrons of Nonlinear Oscillators for High-Precision Localization

Precisely measuring the location of moving objects has been a long-standing research challenge. Here, we present a highly accurate 3-D positioning system named LIO: localization using isochrons in oscillators. LIO precisely measures the Time of Arrival (ToA) of incoming radio frequency (RF) signals employing a novel timing protocol. The proposed protocol measures ToA leveraging the phase shifts of limit cycle oscillators based on their isochrons’ structure. These ToA measurements are then translated into distances and are employed in LIO for high-accuracy 3-D positioning. Moreover, LIO utilizes a passive-round-trip-time (passive-RTT) protocol leveraging retro-reflective tags to address and enhance the synchronization challenge. We derive LIO’s positioning error bound (PEB) and attribute the localization error to ranging- and geometry-induced errors. While our primary objective in this work is to address the former source of error, we also provide a novel optimization framework to mitigate the geometry-induced errors by proposing optimal anchor placements. Lastly, we assess the performance of LIO by designing comprehensive simulations using real-world operational parameters for commercially available semiconductor laser oscillators. Our numerical results indicate that LIO achieves distance estimation with the accuracy of subtenth of the millimeter (mm) and overall 3-D localization with sub-1 mm accuracy. This is at least an order of magnitude better compared to the existing technologies.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-11-27
DOI
https://doi.org/10.1109/jiot.2024.3508548
Citations
4
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
1.40
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article

Leveraging Isochrons of Nonlinear Oscillators for High-Precision Localization

Yannis Kominis, Alireza Famili, Angelos Stavrou, Georgia Himona et al.
4 citations
IEEE Internet of Things Journal
Sensor Technology and Measurement Systems
1.40
article

Leveraging Isochrons of Nonlinear Oscillators for High-Precision Localization

Yannis Kominis, Alireza Famili, Angelos Stavrou, Georgia Himona, Vassilios Kovanis
article en
4 citations

Abstract

Precisely measuring the location of moving objects has been a long-standing research challenge. Here, we present a highly accurate 3-D positioning system named LIO: localization using isochrons in oscillators. LIO precisely measures the Time of Arrival (ToA) of incoming radio frequency (RF) signals employing a novel timing protocol. The proposed protocol measures ToA leveraging the phase shifts of limit cycle oscillators based on their isochrons’ structure. These ToA measurements are then translated into distances and are employed in LIO for high-accuracy 3-D positioning. Moreover, LIO utilizes a passive-round-trip-time (passive-RTT) protocol leveraging retro-reflective tags to address and enhance the synchronization challenge. We derive LIO’s positioning error bound (PEB) and attribute the localization error to ranging- and geometry-induced errors. While our primary objective in this work is to address the former source of error, we also provide a novel optimization framework to mitigate the geometry-induced errors by proposing optimal anchor placements. Lastly, we assess the performance of LIO by designing comprehensive simulations using real-world operational parameters for commercially available semiconductor laser oscillators. Our numerical results indicate that LIO achieves distance estimation with the accuracy of subtenth of the millimeter (mm) and overall 3-D localization with sub-1 mm accuracy. This is at least an order of magnitude better compared to the existing technologies.

IEEE Internet of Things JournalVol. 12(8)
National Technical University of Athens (GR), Virginia Tech (US)
Openalex Percentile: Top 16%
Sensor Technology and Measurement Systems
1.40
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Leveraging Isochrons of Nonlinear Oscillators for High-Precision Localization — Yannis Kominis, Alireza Famili, et al. · IEEE Internet of Things Journal (2024) | TGRS Research Map | TGRS