Device-Free Person Detection and Ranging in UWB Networks
Journal article, 2014

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.

signal processing



Device-free localization



indoor positioning



Yakup Kilic

University of Twente

Henk Wymeersch

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Arjan Meijerink

University of Twente

M. J. Bentum

University of Twente

William Scanlon

Queen's University Belfast

University of Twente

IEEE Journal on Selected Topics in Signal Processing

1932-4553 (ISSN) 19410484 (eISSN)

Vol. 8 1 43-54 6600737

Cooperative Situational Awareness for Wireless Networks (COOPNET)

European Commission (EC) (EC/FP7/258418), 2011-05-01 -- 2016-04-30.

Subject Categories

Signal Processing



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4/5/2022 6