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.