Following the promising results obtained in previous studies, in this paper we address the main limitations of a WiFi-based Passive Forward Scatter Radar in vehicles monitoring applications. Specifically, the possibility to operate in the absence of a reference signal is investigated in order to avoid the need for a dedicated receiving channel and to make the sensor independent of the exploited transmitter of opportunity. Moreover, aiming at the automatic classification of surface vehicles, an effective strategy is considered to estimate the target velocity in order to properly scale the corresponding signatures for direct comparison. The proposed approaches are extensively tested against experimental datasets in order to verify their practical feasibility. This paper is a companion to another paper submitted to this conference [1]. Specifically, with the proposed approaches we complement and extend the results in [1] by providing an effective solution for a realistic implementation of the conceived sensor.

Stand-alone WiFi-based passive forward scatter radar sensor for vehicles classification / Stentella, Michele; Losito, Alessandro; Martelli, Tatiana; Colone, Fabiola. - (2017), pp. 1-6. (Intervento presentato al convegno International Conference on Radar Systems (Radar 2017) tenutosi a Belfast (UK)) [10.1049/cp.2017.0402].

Stand-alone WiFi-based passive forward scatter radar sensor for vehicles classification

Michele Stentella
;
Alessandro Losito;Tatiana Martelli
;
Fabiola Colone
2017

Abstract

Following the promising results obtained in previous studies, in this paper we address the main limitations of a WiFi-based Passive Forward Scatter Radar in vehicles monitoring applications. Specifically, the possibility to operate in the absence of a reference signal is investigated in order to avoid the need for a dedicated receiving channel and to make the sensor independent of the exploited transmitter of opportunity. Moreover, aiming at the automatic classification of surface vehicles, an effective strategy is considered to estimate the target velocity in order to properly scale the corresponding signatures for direct comparison. The proposed approaches are extensively tested against experimental datasets in order to verify their practical feasibility. This paper is a companion to another paper submitted to this conference [1]. Specifically, with the proposed approaches we complement and extend the results in [1] by providing an effective solution for a realistic implementation of the conceived sensor.
2017
International Conference on Radar Systems (Radar 2017)
passive forward scatter radar; WiFi signals; vehicle classification; target motion estimation
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Stand-alone WiFi-based passive forward scatter radar sensor for vehicles classification / Stentella, Michele; Losito, Alessandro; Martelli, Tatiana; Colone, Fabiola. - (2017), pp. 1-6. (Intervento presentato al convegno International Conference on Radar Systems (Radar 2017) tenutosi a Belfast (UK)) [10.1049/cp.2017.0402].
File allegati a questo prodotto
File Dimensione Formato  
Stentella_Stand-alone_2017.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 392.2 kB
Formato Adobe PDF
392.2 kB Adobe PDF   Contatta l'autore
Stentella_Stand-alone_post-print_2017.pdf

accesso aperto

Tipologia: Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 477.38 kB
Formato Adobe PDF
477.38 kB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1118099
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact