MARCO DI SEGLIO

Dottore di ricerca

ciclo: XXXV


Titolo della tesi: WiFi-based sensing: Signal Processing Techniques and Design Strategies

Through the years, target localization has captured the attention of both academic and industrial worlds, thanks to the huge amount of applications which require the knowledge of the position information. Several work can be found on this topic, where the target localization has been addressed in different ways, depending on the type of target, the specific application and the surrounding scenario. In this thesis approaches that relays on the WiFi Access Points (AP) as illuminator of opportunity, are taken in consideration. The main goal of this thesis is to propose low-cost and low-complexity techniques with the aim of introducing WiFi-based sensing technologies in everyday civilian application. The first approach relies on the use of WiFi-based Passive Radar (PR). Specifically, the conventional processing scheme is analyzed and several modification are proposed in order to reduce its overall complexity. Firstly, a rearrangement of the processing scheme is proposed to relax the data management. The Reciprocal Filter (RpF) is then considered as an alternative to the Matched Filter (MF) to operate the range compression stage. This is shown to provide several benefits for the overall processing scheme. Specifically, a simplified adaptive disturbance cancellation stage is devised, alongside to a unified processing scheme that doesn't depend on the adopted waveform modulation typically adopted in WiFi transmissions. Additionally, appropriate adjustments are also proposed to the theoretical RpF in order to cope with the inherent loss in terms of signal-to-noise ratio. The possibility of working without a reference channel is considered as a way to further reduce the architecture complexity. To this end, the processing is limited to the invariant initial portion of the physical layer protocol data unit, namely the PHY preamble, by synthetically building the reference signal according to the IEEE 802.11 Standard. These approaches are proven effective against simulated and experimental data. The use of a non-coherent approach is investigated as a way to devise a simplified sensor that doesn't rely on a reference channel (and signal), which results in a low complexity approach compared to the WiFi-based PR. Specifically, the presence of the moving target is determined by the amplitude modulation that induces on the direct signal from the WiFi Access Point (AP). The target discrimination capability of the sensor against the competing background is investigated and theoretically characterized. Hence, different solution, characterized by different complexity are proposed to deal with the background limitation. The analysis is validated against simulated and experimental data. Both the proposed techniques for target localization are characterized by a scarce range resolution, which implies that the target can not be positioned in a small environment (such as indoor scenarios) based on conventional radar approaches. To achieve an accurate positioning of the target inside the environment under observation, a mapping strategy that leverages other type of measurements, specifically Doppler and angle of arrival, from multiple receiving nodes is sought. The proposed strategy is theoretically characterized and tested for the effectiveness of the employed measurements and the impact of the network topology against simulated data.

Produzione scientifica

11573/1700883 - 2024 - Comparing reference‐free WiFi radar sensing approaches for monitoring people and drones
Di Seglio, Marco; Filippini, Francesca; Bongioanni, Carlo; Colone, Fabiola - 01a Articolo in rivista
rivista: IET RADAR, SONAR & NAVIGATION (Stevenage : IET Research Journals Dept., 2007-) pp. 107-124 - issn: 1751-8784 - wos: (0) - scopus: 2-s2.0-85182838825 (0)

11573/1680711 - 2023 - Reference-free amplitude-based WiFi passive sensing
Colone, Fabiola; Filippini, Francesca; Di Seglio, Marco; Brennan, Paul V.; Du, Rui; Xiao Han, Tony - 01a Articolo in rivista
rivista: IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS (IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667) pp. 1-23 - issn: 0018-9251 - wos: WOS:001101791300118 (1) - scopus: 2-s2.0-85160234345 (2)

11573/1700887 - 2023 - OFDM based WiFi Passive Sensing: a reference-free non-coherent approach
Filippini, Francesca; Di Seglio, Marco; Bongioanni, Carlo; Brennan, Paul V.; Colone, Fabiola - 04b Atto di convegno in volume
congresso: 2023 IEEE Radar Conference (San Antonio (TX,USA))
libro: 2023 IEEE Radar Conference, RadarConf23 - (978-1-6654-3669-4)

11573/1614967 - 2022 - On the use of reciprocal filter against WiFi packets for passive radar
Colone, F.; Filippini, F.; Di Seglio, M.; Chetty, K. - 01a Articolo in rivista
rivista: IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS (IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667) pp. 2746-2761 - issn: 0018-9251 - wos: WOS:000838710200012 (0) - scopus: 2-s2.0-85122291286 (11)

11573/1672686 - 2022 - Human and drone surveillance via RpF-based WiFi passive radar. Experimental validation
Di Seglio, Marco; Filippini, Francesca; Bongioanni, Carlo; Colone, Fabiola - 04b Atto di convegno in volume
congresso: 2022 23rd International Radar Symposium (IRS) (Gdansk; Poland)
libro: 2022 23rd International Radar Symposium (IRS) - (978-83-956020-5-4)

11573/1635252 - 2022 - Reducing the computational complexity of WiFi-based passive radar processing
Di Seglio, Marco; Filippini, Francesca; Chetty, Kevin; Colone, Fabiola - 04b Atto di convegno in volume
congresso: 2022 IEEE Radar Conference (RadarConf. 2022) (New York City; USA)
libro: Proceedings of 2022 IEEE Radar Conference (RadarConf. 2022) - (978-1-7281-5368-1)

11573/1499468 - 2020 - DVB-T based forward scatter radar for small target surveillance
Di Seglio, M.; Colone, F. - 04b Atto di convegno in volume
congresso: 2020 IEEE Radar Conference, RadarConf 2020 (Florence; Italy)
libro: IEEE National Radar Conference - Proceedings - (978-1-7281-8942-0)

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