Anchor-Aided Joint Localization and Synchronization Using SOOP: Theory and Experiments

Leng, Mei; Quitin, François; Tay, Wee Peng; Cheng, Chi Ho; Razul, Sirajudeen Gulam; See, Chong Meng Samson

doi:10.1109/twc.2016.2606099

Cited by 33 publications

(4 citation statements)

References 46 publications

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“…This issue can be, to some extent, mitigated by considering round-trip or differential schemes [85,86]. Another approach to mitigate synchronization issues is based on a virtual synchronization approach [87,88].…”

Section: B Particular Limitationsmentioning

confidence: 99%

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Najarro¹,

Song²,

Kim³

2021

Preprint

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With the advances in new technological trends and the reduction in prices of sensor nodes, wireless sensor networks (WSNs) and their applications are proliferating in several areas of our society such as healthcare, industry, farming, and housing. Accordingly, in recent years attention on localization has increased significantly since it is one of the main facets in any WSN. In a nutshell, localization is the process in which the position of any sensor node is retrieved by exploiting measurements from and between sensor nodes. Several techniques of localization have been proposed in the literature with different localization accuracy, complexity, and hence different applicability. The localization accuracy is limited by fundamental limitations, theoretical and practical, that restrict the localization accuracy regardless of the technique employed in the localization process. In this paper, we pay special attention to such fundamental limitations from the theoretical and practical points of view and provide a comprehensive review of the state-of-the-art solutions that deal with such limitations. Additionally, discussion on the theoretical and practical limitations together with their recent solutions, remaining challenges, and perspectives are presented.

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Section: B Particular Limitationsmentioning

confidence: 99%

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Najarro¹,

Song²,

Kim³

2021

Preprint

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“…Due to the relative clock drift between sensors, the estimated TDOA and FDOA values, e.g.,̂, and̂, , based on the received signals by sensors can be formulated approximately as follows [17]:̂,…”

Section: Algorithm Descriptionmentioning

confidence: 99%

Experimental Target Tracking Using Asynchronous Sensors

Zhu

et al. 2018

Wireless Communications and Mobile Computing

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We investigate the problem of target tracking using a wireless sensor network with asynchronous sensors. To study the impact of sensor clock imperfection on target tracking in practical situations, we build a testbed and collect data from an outdoor experiment. After analyzing the collected data, we find that the TDOA (time-difference-of-arrival) and FDOA (frequency-difference-of-arrival) measurements have notable bias, which is caused by asynchronous sensors or more precisely by the sensor clock drift. Based on the model of clock drift, the measurement bias and the target position are integrated into a state-space model. Both can be estimated in the framework of the extend Kalman filter. In some circumstance, the target trajectory is tracked successfully.

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“…Thanks to Bayesian filtering and Kalman filtering, those time-varying measurements can lead to position determination [6], [18]. In [19], Lang et al…”

Section: Introductionmentioning

confidence: 99%

LEO-Based Coarse Positioning Through Angle-of-Arrival Estimation of Signals of Opportunity

Florio,

Bnilam,

Talarico

et al. 2024

IEEE Access

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This work introduces a novel coarse positioning system based on the estimation of the Angles-of-Arrival (AoAs) of Signals of Opportunity from a spacecraft in the Low Earth Orbit. The AoA estimation is done in real-time using phase interferometry through a dedicated hardware architecture. The 2D position is achieved by means of a simplified geometrical model based on the estimated angles. The experimental campaign aimed to assess the fit of the proposed model with reality, the AoA estimation accuracy, and the final positioning error. Results showed that the system can track the angular position of a fast-moving spacecraft with a precision of tenths of a degree. The final positioning accuracy demonstrates the effectiveness of the system for real-time coarse positioning. INDEX TERMS Angle-of-Arrival (AoA), Direction of Arrival (DoA), Low Earth Orbits (LEO), Positioning, Signal of Opportunity (SoOp), Field-Programmable Gate Array (FPGA).

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Anchor-Aided Joint Localization and Synchronization Using SOOP: Theory and Experiments

Abstract: Anchor-aided joint localization and synchronization using SOOP : theory and experiments.

Cited by 33 publications

References 46 publications

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Experimental Target Tracking Using Asynchronous Sensors

LEO-Based Coarse Positioning Through Angle-of-Arrival Estimation of Signals of Opportunity

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