In this paper the problem of Doppler frequency sidelobes control is addressed with reference to a WiFi-based Passive Bistatic Radar (PBR). In particular we show that the Ambiguity Function of typical WiFi transmissions usually yield a high sidelobes level which might strongly limit the detection capability of the PBR. Conventional weighting networks are shown to be ineffective against such Doppler sidelobes structures. Thus an innovative method is introduced to design effective weighting networks based on the solution of a constrained optimization problem. The performed analysis against both simulated and real data demonstrates that the proposed technique allows a significant improvement in terms of Peak to Sidelobes Ratio thus making the considered waveform more attractive for passive local area surveillance. © 2011 IEEE.
Doppler Frequency Sidelobes Level Control for WiFi-Based Passive Bistatic Radar / Falcone, Paolo; Colone, Fabiola; Lombardo, Pierfrancesco. - (2011), pp. 435-440. (Intervento presentato al convegno IEEE Radar Conference (RADAR) tenutosi a Kansas City; United States nel MAY 23-27, 2011) [10.1109/radar.2011.5960576].
Doppler Frequency Sidelobes Level Control for WiFi-Based Passive Bistatic Radar
FALCONE, PAOLO;COLONE, Fabiola;LOMBARDO, Pierfrancesco
2011
Abstract
In this paper the problem of Doppler frequency sidelobes control is addressed with reference to a WiFi-based Passive Bistatic Radar (PBR). In particular we show that the Ambiguity Function of typical WiFi transmissions usually yield a high sidelobes level which might strongly limit the detection capability of the PBR. Conventional weighting networks are shown to be ineffective against such Doppler sidelobes structures. Thus an innovative method is introduced to design effective weighting networks based on the solution of a constrained optimization problem. The performed analysis against both simulated and real data demonstrates that the proposed technique allows a significant improvement in terms of Peak to Sidelobes Ratio thus making the considered waveform more attractive for passive local area surveillance. © 2011 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.