Wideband Signal Based Near-Field Electromagnetic Ranging for Indoor Localizatio

Wang, Peng; Liu, Zhiyang; Zhang, Xiaolin; Xu, Liyuan; He, Jie; Wan, Yang

doi:10.2991/acaai-18.2018.57

Cited by 2 publications

(2 citation statements)

References 12 publications

(17 reference statements)

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“…However, over the years a number of very interesting practical applications have evolved where the use of relatively low frequencies comes with great advantages, such as: increased penetration depth through materials, a reduced risk of multi-pathing, and avoidance of certain local minima when solving the underlying optimization problem. These applications include geophysical imaging [1,18,19,28,46,51,60], near field sensing and tracking [53,58], the non-destructive testing of materials [15,41,59], and near-field electromagnetic holography [2,57].…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we formulate both sparsity and level set based regularization schemes for a new and highly challenging imaging situation where a 3D Maxwell model is needed as a forward solver. Even though the numerical experiments demonstrated here have been chosen for imaging small rooms or medium-sized containers with shielded walls or obstacles [53,58], the same techniques can be applied to the imaging at different length scales. These include, for example, geophysical applications or the non-destructive testing of small specimens [18,21].…”

Section: Introductionmentioning

confidence: 99%

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Sparsity and level set regularization for near-field electromagnetic imaging in 3D

Hiles¹,

Dorn²

2020

Inverse Problems

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In this paper, we propose and compare two novel reconstruction strategies for near-field electromagnetic imaging of regions in 3D surrounded by walls or shields. Our focus is on the estimation of electrical conductivity profiles inside regions which are roughly equivalent in size to small rooms or medium-sized containers, from electromagnetic data obtained at one given frequency. This setup has interesting applications in the surveillance of activities behind walls, the screening of boxes or containers at ports or airports, or the monitoring of processes inside regions which might contain hazardous materials. Moreover, the techniques proposed here can easily be adjusted to imaging situations at larger or smaller scale; as often found in geophysical or non-destructive testing applications. The two novel regularization techniques proposed here are based on a sparsity promoting regularization scheme on the one hand, and a level set based shape evolution technique on the other. In our numerical simulations, we perform 3D reconstructions from noisy simulated data and compare the results with those obtained from a standard L 2 -type reconstruction approach. Our results suggest, in the applications considered here, that the two proposed novel schemes are potentially able to yield significantly improved reconstructions compared to more traditional techniques.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sparsity and level set regularization for near-field electromagnetic imaging in 3D

Hiles¹,

Dorn²

2020

Inverse Problems

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Radiofrequency Technologies of Local Positioning in Healthcare

Брагин

Pospelova

Cherepanova

et al. 2020

Izv. vysš. učebn. zaved. Ross., Radioèlektron.

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Introduction. Localization of objects position in closed space plays an important role in many areas of human activity, including medicine. Using indoor-positioning technologies as a part of telemedicine systems allows one to improve the quality of medical care and to reduce mortality of patients. Therefore, indoor-positioning technologies contribute to achieve the goals outlined in the Russian Federation government`s program "Healthcare development". Aim. To study the applicability of modern radiofrequency technologies for localization of patients inside a hospital building. Materials and methods. Scientific sources devoted to indoor-positioning based on radiofrequency technologies were analyzed. The methods used included: - bibliographic retrieval; - selection and verification of sources based on their relevance; - analysis of sources by methods of deconstruction and comparative analysis . Results. The result of the analysis indicated that radiofrequency positioning technologies allow one to locate objects using radio waves properties. The disadvantage of the technology is the penetration of radio signal through walls and floors. Given this, it is necessary to use complex algorithms to detect an object with accuracy to a specific room. Despite this disadvantage, radiofrequency technologies can be used for positioning in medical facilities since they are easy in deployment and service. Also, they are used in ready-made commercial solutions. ZigBee technology is an exception because it does not allow one to track moving objects in real-time. Conclusion. Based on the study it was concluded that BLE technology is the most suitable for indoor-positioning in medical facilities. It is energy-efficient, it has sufficiently fast data transfer rate, good communication radius and a large range of ready-made communication equipment. It is also worth noting that most wireless medical sensors exchange data via the BLE interface.

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Wideband Signal Based Near-Field Electromagnetic Ranging for Indoor Localizatio

Cited by 2 publications

References 12 publications

Sparsity and level set regularization for near-field electromagnetic imaging in 3D

Sparsity and level set regularization for near-field electromagnetic imaging in 3D

Radiofrequency Technologies of Local Positioning in Healthcare

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