Toward passive RF tomography: Signal processing and experimental validation

Radio frequency (RF) tomography is an imaging technique based upon a set of randomly distributed transmitters (TX) and receivers (RX) encircling the area under observation. This method requires prior knowledge of the TX's and RX's locations. In some circumstances the TXs may be uncooperative, while in other cases extrinsic emitters may be used as sources of opportunity. In these scenarios, RF tomography should operate in a passive modality. A previous work [1] postulated the principles and feasibility of passive RF tomography. This paper further develops the underlying theory through concise and ad-hoc signal processing. Experimental verification and validation corroborate the effectiveness of passive RF tomography for object localization.

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