Danilo Erricolo

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—Radio frequency (RF) tomography is proposed to detect underground voids, such as tunnels or caches, over relatively wide areas of regard. The RF tomography approach requires a set of low-cost transmitters and receivers arbitrarily deployed on the surface of the ground or slightly buried. Using the principles of inverse scattering and diffraction(More)
Three extensions to radio-frequency (RF) tomography for imaging of voids under wide areas of regard are presented. These extensions are motivated by three challenges. One challenge is the lateral wave, which propagates in proximity of the air–earth interface and represents the predominant radiation mechanism for wide-area surveillance, sensing of denied(More)
We present an approach to performing rapid calculations of temperature within tissue by interleaving, at regular time intervals, 1) an analytical solution to the Pennes (or other desired) bioheat equation excluding the term for thermal conduction and 2) application of a spatial filter to approximate the effects of thermal conduction. Here, the basic(More)
The increasing demand for wireless ubiquitous services necessitates new spectrum allotments or a re-design of current systems to effectively manage coexistence between different types of technologies. In particular, the S-band (2-4 GHz) is in high demand for both surveillance and weather radar, communication satellites and commercial wireless networks. In(More)
We present a six-dimensional distributed vector sensor for Direction of Arrival estimation applications. A vector sensor should measure all 6 components of the electromagnetic field at the same location. Such sensor is motivated by recent analytical results, showing an improved estimation of the direction of arrival of the signal from a single source. Since(More)
Experimental data are used to validate a novel inversion scheme, based on a Conjugate Gradient algorithm. The proposed inversion provides actionable reconstruction results at a fraction of the computational effort needed by classical regularization techniques. Additionally, Conjugate Gradient allows us to introduce physical bounds on the solution returned,(More)