RF Tomography using radars of opportunity: Theory and experimental validation

RF Tomography is a technique to reconstruct an image of the area of interest using distributed transmitters and receivers assumed to be cooperating. This paper explores the possibility of using RF tomography when the sources´ locations and waveforms are not known. With this added complexity, the system must 1) sense the environment to detect radar waveforms of opportunity 2) estimate the source´s locations 3) use a tomographic reconstruction based upon match-filtered data, where the phase information of targets is practically lost. This paper addresses these steps through a new formalization of the tomographic model and associated signal processing. Simulations and experimental results are shown.