In this paper the feasibility of a WiFi transmissions based passive bistatic radar is analysed. The auto-correlation function of this waveform of opportunity is characterized with reference to typical signals broadcasted by a 802.11 access point and it is shown to yield a high sidelobe level which strongly limits the useful dynamic range. Proper weighting networks are proposed to cope with this limitations based on the knowledge of the expected value of the signal autocorrelation function. The performance of the proposed technique is evaluated against simulated data generated according to the 802.11 Standards. Moreover the preliminary results are presented against a real data set collected by an experimental setup. The proposed approach is shown to yield a significant improvement of the peak to sidelobe ratio thus making the considered waveform more attractive for passive local area surveillance. © 2009 EuMA.
Range Sidelobes Reduction Filters for WiFi-Based Passive Bistatic Radar / Falcone, Paolo; Colone, Fabiola; Lombardo, Pierfrancesco; Bucciarelli, Tullio. - (2009), pp. 133-136. (Intervento presentato al convegno 6th European Radar Conference tenutosi a Rome; Italy nel SEP 30-OCT 02, 2009).
Range Sidelobes Reduction Filters for WiFi-Based Passive Bistatic Radar
FALCONE, PAOLO;COLONE, Fabiola;LOMBARDO, Pierfrancesco;BUCCIARELLI, Tullio
2009
Abstract
In this paper the feasibility of a WiFi transmissions based passive bistatic radar is analysed. The auto-correlation function of this waveform of opportunity is characterized with reference to typical signals broadcasted by a 802.11 access point and it is shown to yield a high sidelobe level which strongly limits the useful dynamic range. Proper weighting networks are proposed to cope with this limitations based on the knowledge of the expected value of the signal autocorrelation function. The performance of the proposed technique is evaluated against simulated data generated according to the 802.11 Standards. Moreover the preliminary results are presented against a real data set collected by an experimental setup. The proposed approach is shown to yield a significant improvement of the peak to sidelobe ratio thus making the considered waveform more attractive for passive local area surveillance. © 2009 EuMA.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.