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 journalArticlepeer-review

28 Citations (Scopus)


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 languageEnglish
Pages (from-to)43-54
Number of pages12
JournalIEEE Journal of Selected Topics in Signal Processing
Issue number1
Early online date16 Sep 2013
Publication statusPublished - Feb 2014

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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