A 5.6-GHz UWB Position Measurement System

Cazzorla, Alessandro; Angelis, Guido De; Moschitta, Antonio; Dionigi, Marco; Alimenti, F.; Carbone, Paolo

doi:10.1109/tim.2012.2219139

Cited by 87 publications

(61 citation statements)

References 25 publications

(16 reference statements)

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“…Obviously, works have reported in literature which achieve fingerprinting accuracy in the sub-meter-range (e.g. UWB [4]- [6], MFI [7], [8]) however they require nonoff-the-shelf and usually expensive equipment.…”

Section: Discussionmentioning

confidence: 99%

“…Such techniques include Ultra-Wideband (UWB) [4]- [6] or Magnetic Field Intensity (MFI) [7], [8] technologies etc. Because of this, fingerprint-based positioning [9]- [11] which became a popular topic of research over the last decades, still remains an active area of research mainly because of its simplicity and its potential to be applicable using off-the-shelf technologies.…”

Section: Introductionmentioning

confidence: 99%

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Multidevice Map-Constrained Fingerprint-Based Indoor Positioning Using 3-D Ray Tracing

Raspopoulos

2018

IEEE Trans. Instrum. Meas.

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Abstract-This paper studies the use of deterministic channel modelling through 3D Ray Tracing (RT) for constructing deviceindependent radiomaps for Wi-Fi RSSI-based fingerprinting indoor positioning, applicable to different devices. Device heterogeneity constitutes a limitation in fingerprint-based approaches and also constructing radiomaps through extensive in-situ measurement campaigns is laborious and time-consuming even with a single device let alone the need for radiomaps constructed using multiple different devices. This work tackles both challenges through the use of 3D RT for radiomap generation in conjunction with data calibration using a small set of device-specific measurements to make the radiomap device-independent. The efficiency of this approach is evaluated using simulations and measurements in terms of the time spent to generate the radiomap, the amount of device-specific data required for calibration and in terms of the achievable positioning accuracy. Potential accuracy improvements in the RT-based indoor positioning processes are further investigated, by studying the use of map constraints into the algorithm in the form of a-priori probabilities. In this approach, a Route Probability Factor (RPF), which reflects the likelihood of a user being in various locations inside the environment is used. The outcome of the evaluation process which includes a study of different RPF distributions, indicates the validity of the approach, demonstrated by a reduction in the positioning error for various devices. The versatility of this approach is also demonstrated for different scenarios, different devices and by considering different device-handling conditions.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multidevice Map-Constrained Fingerprint-Based Indoor Positioning Using 3-D Ray Tracing

Raspopoulos

2018

IEEE Trans. Instrum. Meas.

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“…Efforts have been made in the literature to relax the synchronization requirements, and two common methods are two-way ranging [1,2] and elliptical localization [3][4][5]. In two-way ranging, an anchor node transmits a packet to a target node, which replies by an acknowledgment packet to the anchor node after a response delay.…”

Section: Introductionmentioning

confidence: 99%

Localization algorithms for asynchronous time difference of arrival positioning systems

Dong

2017

J Wireless Com Network

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An asynchronous time difference of arrival (ATDOA) positioning system requires no time synchronization among all the anchor and target nodes, which makes it highly practical and can be easily deployed. This paper first presents an ATDOA localization model, and then primarily focuses on two new localization algorithms for the system. The first algorithm is a two-step positioning algorithm that combines semidefinite programming (SDP) with a Taylor series method to achieve global convergence as well as superior estimation accuracy, and the second algorithm is a constrained least-squares method that has the advantage of low complexity and fast convergence while maintaining good performance. In addition, a novel receiver re-selection method is presented to significantly improve estimation accuracy. In this paper, we also derive the Cramer-Rao lower bound (CRLB) of the ATDOA positioning system using a distance-dependent noise variance model, which describes a realistic indoor propagation channel.

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“…Typically measured parameters are Received Signal Strength (RSS), Angle of Arrival (AoA), and Time of Flight (ToF). Several signaling schemes have been proposed, based on the transmission of Ultra Wide Band (UWB) RF signals [2][3][4][5][6], narrowband RF signals [7][8][9][10], inductively coupled low frequency EM signals [11][12][13][14][15], optical signals, both for ranging and for image reconstruction based positioning [16][17], and ultrasonic acoustic signals [18][19][20][21][22]. The considered approaches may be competitive depending on the scenario requirements, expressed in terms of accuracy and measurement rate, Line of Sight (LoS) availability, power consumption, and processing power [1].…”

Section: Introductionmentioning

confidence: 99%