Through‐the‐floor localization of a static person by a multistatic UWB radar

Švecová, Mária; Kocur, Dušan; Demčák, Jakub; Buša, Ján; Gamcová, Mária; Slovak, Stanislav

doi:10.1002/mop.31609

Cited by 7 publications

(6 citation statements)

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“…In this article, the problem of the 3D localization of a moving person using Msequence UWB radar for NLOS scenario has been studied. As has been shown in [10] and [15], for the moving person localization in 3D, the 3D-2D method [10] or its approximation [15] can be used. The advantage of these approaches consists on one hand in the simplicity of the mathematical solution of (2), and on the other hand, what is perhaps more interesting that all methods developed for the target localization in 2D can be applied for the target localization in 3D.…”

Section: Discussionmentioning

confidence: 99%

“…As an example, a few algorithm such as iterative Taylor series method [19], [20], approximate maximum likelihood methods [21], least-squares algorithms or various localization algorithms based on target bistatic range estimation (e.g. [10], [14], [15], [22]) could be mentioned.…”

Section: Introductionmentioning

confidence: 99%

“…1. Due to the antenna array layout, a geometrical interpretation of the considered localization problem allows finding the target coordinates by a simple computation of 2 intersections of 2 pairs of ellipses as was suggested in [10], [15]. The mentioned ellipses are defined by the antenna array layout and estimated TOAs corresponding to the target and to particular pairs of transmitting antenna and receiving antenna.…”

Section: Introductionmentioning

confidence: 99%

“…Then, the final target coordinates can be determined by a fusion of the results of target localization in these two planes [10], [15]. The person localization in 3D based on this idea which has been developed in [10] is known as the 3D-2D method. Its simplified version introduced in [15] is sometimes referred to as approximate 3D-2D method (A-3D-2D).…”

Section: Introductionmentioning

confidence: 99%

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Determining the Position of the Moving Personsin 3D Space by UWB Sensors using Taylor Series Based Localization Method

Kocur¹,

Švecová²,

Kažimír³

2019

ACTA POLYTECH HUNG

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The person localization by ultra-wideband (UWB) sensors is a challenging field attracting researchers worldwide. Whereas the issue of the person localization in 2dimensional space (2D) has been discussed in many articles, only a few papers have been devoted to the people localization in 3-dimensional space (3D). Combining two 3D localization methods a new approach to the person localization in 3D can be obtained to fill this gap. The new 3D localization method introduced in this paper is referred to as the Taylor series based localization method (TSM). This method combines the 3D-2D method of object localization in 3D with the conventional method of Taylor series. The performance properties of the introduced TSM will be illustrated via the experimental scenario intent on the through-the-wall localization of a moving person by a multistatic UWB radar system. D. Kocur et al. Determining the Positions of the Moving Persons in 3D Space by UWB Sensors -46 -fine range resolution based on time-of-arrival (TOA) measurement [3], UWB sensors can provide object localization with high accuracy as well. Moreover, signals transmitted by UWB radars are extremely low-power. As results, they produce only low-level interference of narrowband communication infrastructure and thus they can more easily coexist with such communication systems. These and further unique properties of UWB sensors (comprehensively summarized, e.g. in [1]) have been the impetus in the last years for relatively extensive development of applications of UWB localization systems. Rescue and security operations, critical infrastructures monitoring [1], [4], [5], [6], senior monitoring within their dwellings [7], [8], baby monitoring (e.g. detection of sudden death syndrome), etc. are just a few examples of such applications. Moreover, due to the development of communication and sensor networks, smart-home, smart-cities, Internet of Things and low-cost UWB sensor systems, it is expected the growth of requests for contactless monitoring of people in the near future. Motivated by these findings we have focused our research on moving people monitoring (e.g. [9], [10], [11], [12], etc.) by means of UWB radars. In this area, great attention has been devoted to the localization of persons through a vertical wall in 2-dimensional (2D) and 3-dimensional space (3D) (e.g. [1], [13]) as well as through-the-floor localization of persons in 3D [10] or to the localization of persons situated behind a corner [14].

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Determining the Position of the Moving Personsin 3D Space by UWB Sensors using Taylor Series Based Localization Method

Kocur¹,

Švecová²,

Kažimír³

2019

ACTA POLYTECH HUNG

Self Cite

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“…People localization belongs undoubtedly among the oldest applications of UWB sensors. In this field, attention has been devoted to the localization of people for LOS scenarios [15], through-a-vertical wall [16] and through-the-floor localization of people [17], and finally, locating people around a corner [18]. As sensor systems, multistatic UWB radars employing 1 transmitting (Tx) and at least 2 receiving antennas (Rxs) or UWB sensor networks have been considered for these scenarios.…”

Section: Introductionmentioning

confidence: 99%

Localization of a person moving with an unknown character of motion

Švecová

Kocur

2020

Journal of Electromagnetic Waves and Applications

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In the last decade, it has been shown that short-range ultrawideband (UWB) sensors can provide promising solutions to the issue of people localization in many interesting applications. The applicability of particular localization methods utilizing this wireless technology depends on the form of the motion of the monitored person. Therefore, great effort was initially taken to localize people who always carry out the same type of movement, i.e. to localize either moving or only static persons. In real life, people do not move always by the same form of the motion, but the character of their movement is normally time-variable. Moreover, a person-monitoring system has usually no a priori information about the movement status of the person to be monitored. The issue of localization of persons moving both by an unknown and changing character of motion has not been satisfactorily addressed. Motivated by these findings, we will introduce a new concept of UWB sensor signal processing focused on localization of a person moving with an unknown and time-variable character of motion. This concept is based on the decomposition of possible motion activities of persons into a finite set of basic forms of movement defining the so-called types of persons, while a specific signal processing procedure is proposed. The corresponding form of a person's movement is first identified and then the person is detected and localized. The performance properties of this concept will be illustrated by its application for through-the-wall localization of a person moving with short and long stops.

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Person identification with limited training data using radar micro‐Doppler signatures

Lang

Wang

Yang

et al. 2019

Micro & Optical Tech Letters

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Radar‐based human micro‐Doppler analysis has been the subject of much investigation in recent years. Apart from the conventional activity classification task, person identification based on human movement signal has emerged as a research interest. This paper presents a method to recognize a person's identity from varied human motions using an ultra‐wideband radar. The human movement data is captured in an indoor environment and is then transformed into micro‐Doppler spectrograms for identification. Moreover, as it is always challenging to construct large scale radar datasets in practice, we adopt a plain convolutional neural network with a multi‐scale feature aggregation strategy to address the identification problem. Experimental results show that the micro‐Doppler signatures have great potential in person identification, and our model presents relative satisfying performances limited training set. Especially, when “walking” is used for identification, our approach achieves a person identification accuracy of 96.8% for the four targets used.

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Through‐the‐floor localization of a static person by a multistatic UWB radar

Cited by 7 publications

References 12 publications

Determining the Position of the Moving Personsin 3D Space by UWB Sensors using Taylor Series Based Localization Method

Determining the Position of the Moving Personsin 3D Space by UWB Sensors using Taylor Series Based Localization Method

Localization of a person moving with an unknown character of motion

Person identification with limited training data using radar micro‐Doppler signatures

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