Range sidelobes reduction filters for WiFi-based passive bistatic radar

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.