Characterization and Modeling of an Experimental UWB Pulse-Based Distance Measurement System

Angelis, Alessio De; Dionigi, Marco; Moschitta, Antonio; Giglietti, R.; Carbone, Paolo

doi:10.1109/tim.2008.2009204

Cited by 43 publications

(33 citation statements)

References 5 publications

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“…Here, some efforts have been done in the research community to develop such platforms reaching 10 to 15 cm in positioning accuracy. The reader might refer to [44] for more details. In UWB-based positioning system, interference with the ultrawide spectrum may occur because of the misconfiguration.…”

Section: ) Challenges In Uwb-based Localization Systemmentioning

confidence: 99%

Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications

Yassin

Nasser

Awad

et al. 2017

IEEE Commun. Surv. Tutorials

742

444

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Abstract-The availability of location information has become a key factor in today's communications systems allowing location based services. In outdoor scenarios, the mobile terminal position is obtained with high accuracy thanks to the Global Positioning System (GPS) or to the standalone cellular systems. However, the main problem of GPS and cellular systems resides in the indoor environment and in scenarios with deep shadowing effects where the satellite or cellular signals are broken. In this paper, we survey different technologies and methodologies for indoor and outdoor localization with an emphasis on indoor methodologies and concepts. Additionally, we discuss in this review different localization-based applications, where the location information is critical to estimate. Finally, a comprehensive discussion of the challenges in terms of accuracy, cost, complexity, security, scalability, etc. is given. The aim of this survey is to provide a comprehensive overview of existing efforts as well as auspicious and anticipated dimensions for future work in indoor localization techniques and applications.

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Section: ) Challenges In Uwb-based Localization Systemmentioning

confidence: 99%

Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications

Yassin

Nasser

Awad

et al. 2017

IEEE Commun. Surv. Tutorials

742

444

View full text Add to dashboard Cite

show abstract

“…Time-to-Digital Converters (TDCs) have traditionally found applications to measure high-energy physics related quantities, time-intervals for range-and position-finding systems [14] and have been embedded in phase-locked loops for phase detection purposes [15]. Now, their range of applications is increasing.…”

Section: Challenges In the Area Of Time-to-digital Conversionmentioning

confidence: 99%

Editorial: ADC Modelling, Testing and Data Converter Analysis and Design

2012

Measurement

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“…However, to the best of our knowledge, no approach has been based on a Pareto optimization by tradingoff between estimation error bias and variance. Compared to papers from the literature, we employ a new statistical characterization of the estimation errors which uses models from experimental tests on a UWB platform we presented in [8], [9]. By numerical simulations, we show that our new sensor fusion outperforms existing solutions, including several commonly employed techniques based on the Kalman filter.…”

Section: Introductionmentioning

confidence: 98%

A distributed information fusion method for localization based on Pareto optimization

Angelis

Fischione

2011

2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS)

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To overcome the limitations of specific positioning techniques for mobile wireless nodes and achieve a high accuracy, the fusion of heterogeneous sensor information is an appealing strategy. In this paper, the problem of optimal fusion of ranging information typically provided by Ultra-Wideband radio with speed and absolute orientation information is addressed. A new distributed recursive estimation method is proposed. The method does not assume any motion model of mobile nodes and is based on a Pareto optimization. The challenging part of the new estimator is the characterization of the statistical information needed to model the optimization problem. The proposed estimator is validated by Monte Carlo simulations, and the performance is compared to several Kalman-based filters commonly employed for localization and sensor fusion. Much better performance is achieved, but at the price of an increased computational complexity.

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Characterization and Modeling of an Experimental UWB Pulse-Based Distance Measurement System

Cited by 43 publications

References 5 publications

Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications

Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications

Editorial: ADC Modelling, Testing and Data Converter Analysis and Design

A distributed information fusion method for localization based on Pareto optimization

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