Device-Free Person Detection and Ranging in UWB Networks

Yakup Kilic; Henk Wymeersch; Arjan Meijerink; Mark J. Bentum; William G. Scanlon

doi:10.1109/JSTSP.2013.2281780

Device-Free Person Detection and Ranging in UWB Networks

Yakup Kilic, Henk Wymeersch, Arjan Meijerink, Mark J. Bentum, William G. Scanlon

Research output: Contribution to journal › Article › peer-review

49 Citations (Scopus)

Abstract

We present a novel device-free stationary person detection and ranging method, that is applicable to ultra-wide bandwidth (UWB) networks. The method utilizes a fixed UWB infrastructure and does not require a training database of template waveforms. Instead, the method capitalizes on the fact that a human presence induces small low-frequency variations that stand out against the background signal, which is mainly affected by wideband noise. We analyze the detection probability, and validate our findings with numerical simulations and experiments with off-the-shelf UWB transceivers in an indoor environment.

Original language	English
Pages (from-to)	43-54
Number of pages	12
Journal	IEEE Journal of Selected Topics in Signal Processing
Volume	8
Issue number	1
Early online date	16 Sept 2013
DOIs	https://doi.org/10.1109/JSTSP.2013.2281780
Publication status	Published - Feb 2014

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/JSTSP.2013.2281780

Cite this

@article{dbf451153ade43b0a697c58d152651c6,

title = "Device-Free Person Detection and Ranging in UWB Networks",

abstract = "We present a novel device-free stationary person detection and ranging method, that is applicable to ultra-wide bandwidth (UWB) networks. The method utilizes a fixed UWB infrastructure and does not require a training database of template waveforms. Instead, the method capitalizes on the fact that a human presence induces small low-frequency variations that stand out against the background signal, which is mainly affected by wideband noise. We analyze the detection probability, and validate our findings with numerical simulations and experiments with off-the-shelf UWB transceivers in an indoor environment.",

author = "Yakup Kilic and Henk Wymeersch and Arjan Meijerink and Bentum, {Mark J.} and Scanlon, {William G.}",

year = "2014",

month = feb,

doi = "10.1109/JSTSP.2013.2281780",

language = "English",

volume = "8",

pages = "43--54",

journal = "IEEE Journal of Selected Topics in Signal Processing",

issn = "1932-4553",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "1",

}

TY - JOUR

T1 - Device-Free Person Detection and Ranging in UWB Networks

AU - Kilic, Yakup

AU - Wymeersch, Henk

AU - Meijerink, Arjan

AU - Bentum, Mark J.

AU - Scanlon, William G.

PY - 2014/2

Y1 - 2014/2

N2 - We present a novel device-free stationary person detection and ranging method, that is applicable to ultra-wide bandwidth (UWB) networks. The method utilizes a fixed UWB infrastructure and does not require a training database of template waveforms. Instead, the method capitalizes on the fact that a human presence induces small low-frequency variations that stand out against the background signal, which is mainly affected by wideband noise. We analyze the detection probability, and validate our findings with numerical simulations and experiments with off-the-shelf UWB transceivers in an indoor environment.

AB - We present a novel device-free stationary person detection and ranging method, that is applicable to ultra-wide bandwidth (UWB) networks. The method utilizes a fixed UWB infrastructure and does not require a training database of template waveforms. Instead, the method capitalizes on the fact that a human presence induces small low-frequency variations that stand out against the background signal, which is mainly affected by wideband noise. We analyze the detection probability, and validate our findings with numerical simulations and experiments with off-the-shelf UWB transceivers in an indoor environment.

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-84893393649&partnerID=8YFLogxK

U2 - 10.1109/JSTSP.2013.2281780

DO - 10.1109/JSTSP.2013.2281780

M3 - Article

AN - SCOPUS:84893393649

SN - 1932-4553

VL - 8

SP - 43

EP - 54

JO - IEEE Journal of Selected Topics in Signal Processing

JF - IEEE Journal of Selected Topics in Signal Processing

IS - 1

ER -

Device-Free Person Detection and Ranging in UWB Networks

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this