Filippini, F;
Di Seglio, M;
Bongioanni, C;
Brennan, PV;
Colone, F;
(2023)
OFDM based WiFi Passive Sensing: a reference-free non-coherent approach.
In:
2023 IEEE Radar Conference (RadarConf23).
IEEE: San Antonio, TX, USA.
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Abstract
WiFi based passive sensing is attracting considerable interest in the scientific community for both research and commercial purposes. In this work, we aim at taking a step forward in an endeavor to achieve good sensing capabilities employing compact, low-cost, and stand-alone WiFi sensors. To this end, we resort to a reference-free non-coherent signal processing scheme, where the presence of a moving target echo is sought by detecting the amplitude modulation that it produces on the direct signal transmitted from the WiFi access point. We first validate the proposed strategy against simulated data, identifying advantages and limitations. Then, we apply the conceived solution on experimental data collected in a small outdoor area with the purpose of detecting a small cooperative drone.
| Type: | Proceedings paper |
|---|---|
| Title: | OFDM based WiFi Passive Sensing: a reference-free non-coherent approach |
| Event: | 2023 IEEE Radar Conference (RadarConf23) |
| Dates: | 1 May 2023 - 5 May 2023 |
| ISBN-13: | 9781665436694 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/RadarConf2351548.2023.10149694 |
| Publisher version: | https://doi.org/10.1109/RadarConf2351548.2023.1014... |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | ISAC, WiFi signals, passive sensing, non-coherent radar, IEEE 802.11, UAV detection. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10175458 |
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