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297

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Introduction

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January 2015 - present

## Publications

Publications (297)

This letter addresses the classical problem of estimating the achievable resolution in terms of the configuration parameters and features of the background media in microwave imaging problems. In particular, we focus on the 2D scalar case
and a homogeneous medium, while data are collected in the nearfield by a multi-monostatic multi-frequency confi...

In this contribution, a wearable microwave imaging system for real-time monitoring of brain stroke in the post-acute stage is described and validated. The system exploits multistatic/multifrequency (only 50 frequency samples) data collected via a low-cost and low-complexity architecture. Data are collected by an array of only 16 antennas moved by p...

In this paper, a computationally light single-snapshot multiple signal classification (MUSIC) algorithm is presented for multidimensional estimation in the framework of automotive radar systems. In particular, for the sake of simplicity, we focus on the two-dimensional (2D) range-angle processing. The goal is to reduce the computational effort with...

This paper aims to introduce a new strategy for the detection of faulty elements in phased array antennas. The approach takes advantage on the possibility in phased array to introduce the steering diversity. Accordingly, by collecting the radiated field over the measurement aperture while steering the beam, an approach inspired by the Time reversal...

Near-field techniques for antenna testing can require the collection of a very large number of data when the working frequency increases and/or the antenna’s is large in terms of the wavelength. To mitigate such a drawback, a greedy method, we call warping driven Maximum Noise Propagation Error (MNPE) algorithm, is introduced. Antenna under test (A...

In this contribution we are concerned with microwave imaging under linearized scattering framework and a layered background medium. The focus is establishing a theoretically clear link between the configuration parameters, i.e., measurement aperture, frequency band and background medium electromagnetic features, and the number of data, the tolerabl...

In this paper, we are concerned with microwave subsurface imaging achieved by inverting the linearized scattering operator arising from the Born approximation. In particular, we consider the important question of reducing the required data to achieve imaging. This can help to reduce the radar system’s cost and complexity and mitigate the imaging al...

The problem of detecting defective turned-off elements in antenna arrays from amplitude-only data is addressed. Commonly used antenna diagnostics methods, such as the back transformation method (BTM) and the matrix method (MM), exploit amplitude and phase field data. Here, instead, the diagnostics is cast as the recovery of a real (binary) signal f...

Statistically thinned arrays are obtained by thinning a
reference filled
array, according to a probabilistic law which is dictated by the reference current. The remaining radiators are still separated by commensurable distances, even if randomly located. Hence, wide-band operations are prevented by grating lobes occurrence. To overcome the above...

This paper deals with subsurface radar imaging for a two-dimensional scalar setting consisting of a two-layered background medium imaged via a multi-frequency, multi-monostatic configuration. The objective is to reduce data for a subsurface imaging problem without performance degradation by determining the optimal sensor locations in both spatial a...

Microwave sensors are gaining increasing interest in blood glucose detection, for their potential ability to perform a continuous non-invasive monitoring of the glucose concentration, by relating the change in the blood dielectric properties to a variation in the glucose level. Usually, the involved body part (phantom) is placed on the sensor to pe...

Super-resolution spectral methods are applied and compared to improve the estimation result provided by biomedical microwave resonant sensors. In particular, the resolution of resonant sensors is revealed to be significantly improved, despite their intrinsic low quality factor. Excellent robustness against noise is also demonstrated. Algorithms are...

In this article, the estimation of
transverse resolution in a typical through-the-wall radar
imaging scenario under a linearized scattering approximation
is addressed. The geometry is scalar and twodimensional,
and the data are collected at a single
frequency with a monostatic configuration. The measurement
domain is located near the no-reactive zo...

Proper field sampling strategies are important in antenna measurements and diagnostics applications to reduce the overall testing time. We investigate the role of source dimension in determining sampling points’ locations by referring to circumference geometries. An inverse problem approach is adopted, and spectral decomposition of the relevant ope...

Curve-fitting means the determination of the set of parameters that best fit the input data set as expressed by a given function that is usually non-linear. The paper addresses the curve fitting of Debye and Cole–Cole models to a dielectric permittivity spectrum. The success of a nonlinear curve fit heavily depends on the choice of the algorithm an...

A method to improve the response resolution of microwave biomedical resonant sensors is discussed. Resonant sensors often do not show very sharp resonance peak, due also to losses which reduce the quality factor. Moreover, since the sensor response is collected over a discrete set of frequencies, the actual resonance peak may not be properly captur...

This paper discusses a method to improve the resolution of microwave biomedical sensors. Usually, the frequency response of these devices is relatively wide as compared to its ideal shape. Furthermore, only a finite number of its samples can be acquired in the measurement stage. Accordingly, to have an accurate estimate of the resonance frequency,...

In this paper, the problem of how to spatially sample the scattered field in microwave through-the wall imaging is addressed.
To this end, a two-dimensional scalar configuration for a three-layered back-ground medium is considered under a linearized
scattering model. The aim is to collect as low as possible measurements by maintaining the same perf...

In this paper, the performance of three recent algorithms for the frequency-response enhancement of microwave resonant sensors are compared. The first one, a single-step algorithm, is based on a couple of direct-inverse Fourier transforms, giving a densely sampled response as a result. The second algorithm exploits an iterative procedure to progres...

In this paper, the problem of how to spatially sample the scattered field in microwave through-the wall imaging is addressed. To this end, a two-dimensional scalar configuration for a three-layered background medium is considered under a linearized scattering model. The aim is to collect as low as possible measurements by maintaining the same perfo...

In this paper we introduce a sampling scheme based on the application of an inverse source problem approach to the far field radiated by a conformal current source. The regularized solution of the problem requires the computation of the Singular Value Decomposition (SVD) of the relevant linear operator, leading to introduce the Point Spread Functio...

In this paper we introduce a sampling scheme based on the application of an inverse source problem approach to the far field radiated by a conformal current source. The regularized solution of the problem requires the computation of the Singular Value Decomposition (SVD) of the relevant linear operator, leading to introduce the Point Spread Functio...

Field sampling should be devised to preserve the information required for the knowledge of the radiation of an antenna. In this paper, we introduce a sampling scheme based on an inverse source problem approach to the far field radiated by a conformal current source. The regularized solution of the problem requires the computation of the Singular Va...

Statistically thinned array antennas are usually employed to form single-beam radiation patterns. In this work, the possibility to adopt such type of antennas to obtain multiple-beam patterns is successfully explored. In particular, two schemes are proposed and compared. In the first one, multiple-beam patterns are realized by considering each beam...

The problem of detecting defective turned-off elements in antenna arrays from near-field measurements is addressed. In particular, the focus here is to reduce the number of measurements in order to positively affect the acquisition time. Such an issue is achieved by adopting the recently developed warping sampling method. Two commonly antenna diagn...

This paper sets out a method for improving the resolution of resonant microwave sensors. Usually, the frequency response of these devices is associated with a low quality factor, and consequently with a low resolution in terms of tracking capacity of the resonance frequency shift. Furthermore, since only a finite number of samples can be acquired d...

In this paper we consider the characterisation of linear statistically thinned arrays. Their side-lobe level is often given in terms of the angle independent array factor variance, which does not capture the actual statistical fluctuations of the power pattern around its average, or by some analytical formulas which overcome this limitation by esti...

In microwave imaging, it is often of interest to inspect electrically large spatial regions. In these cases, data must be collected over a great deal of measurement points which entails long measurement time and/or costly, and often unfeasible, measurement configurations. In order to counteract such drawbacks, we have recently introduced a microwav...

This paper deals with an inverse scattering problem under a linearized scattering model
for a multi-static/multi-frequency configuration. The focus is on the determination of a sampling
strategy that allows the reduction of the number of measurement points and frequencies and at
the same time keeping the same achievable performance in the reconstru...

In microwave imaging it is often of interest to inspect electrically large spatial regions. In these cases, data must be collected over a great deal of measurement points which entails long measurement time and/or costly, and often unfeasible, measurement configurations. In order to counteract such drawbacks, we have recently introduced a microwave...

The sampling of the near-field radiated by a planar source observed over a finite planar aperture is addressed. To this end, we employ the warping method that amounts to properly change the observation variables and finding the sampling points as those that allow to approximate the singular values of the radiation operator up to the so-called numbe...

The role of the source geometry in the the radiation of focusing beams by conformal antennas is examined by the comparison of their directivity functions at different maximum directions. An inverse source problem approach is adopted, where solutions stable with respect to data uncertainties are to be found by relying on the analysis of the pertinen...

We summarize recent approaches to estimate electromagnetic fields in an arbitrary two-dimensional scattering domain. Only an estimate of the objects’ spatial support in the scattering environment is required in our approach. Using the Huygens’ principle and compressive sensing, the tangential electromagnetic fields on the scatterers’ surface are es...

In this paper, subsurface imaging problem is addressed.
In particular, the focus is to introduce a new field
sampling scheme which reduces the spatial measurement without
degrading the the performance achievable in the reconstruction.
This leads to a non-uniform arrangement of the measurements
across the measurement domain.

This paper deals with the classical question of estimating the achievable resolution in terms of the configuration parameters in inverse source problems. In particular, the study focuses on the case of a planar surface magnetic current which is to be reconstructed from near-field observed over a bounded rectangular aperture parallel to the source d...

p>The role of the source geometry in the the radiation of focusing beams by conformal antennas is examined by the comparison of their directivity functions at different maximum directions. An inverse source problem approach is adopted, where solutions stable with respect to data uncertainties are to be found by relying on the analysis of the pertin...

p>The role of the source geometry in the the radiation of focusing beams by conformal antennas is examined by the comparison of their directivity functions at different maximum directions. An inverse source problem approach is adopted, where solutions stable with respect to data uncertainties are to be found by relying on the analysis of the pertin...

In this paper we consider radar approaches for breast cancer detection. The aim is to give a brief review of the main features of incoherent methods, based on beam-forming and Multiple SIgnal Classification (MUSIC) algorithms, that we have recently developed, and to compare them with classical coherent beam-forming. Those methods have the remarkabl...

In this paper, we propose a method to reconstruct the total electromagnetic field in an arbitrary two-dimensional scattering environment without any prior knowledge of the incident field or the permittivities of the scatterers. However, we assume that the region between the scatterers is homogeneous and that the approximate geometry describing the...

This paper deals with microwave subsurface imaging achieved by inverting the linearized scattering operator. The focus is on the determination of a strategy for spatially sampling the data which allows to reduce the spatial data measurements and at the same time to keep the same achievable performance in the reconstructions. To this end, the measur...

This letter deals with microwave imaging via a migration-like inversion method. The aim is the determination of a spatial sampling scheme which allows to collect as low as possible spatial measurements and to preserve the point-spread function features and hence, the achievable performance in the reconstructions. To keep math simple and to more eas...

div>This paper deals with the classical question of estimating the achievable resolution in terms of the configuration parameters in inverse source problems. In particular, the study focuses on the case of a planar surface magnetic current which is to be reconstructed from near-field observed over a bounded rectangular aperture parallel to the sour...

div>This paper deals with the classical question of estimating the achievable resolution in terms of the configuration parameters in inverse source problems. In particular, the study focuses on the case of a planar surface magnetic current which is to be reconstructed from near-field observed over a bounded rectangular aperture parallel to the sour...

div>This paper deals with microwave subsurface imaging obtained by a migration-like inversion scheme, for a 2D monostatic scalar configuration and a two-layered background medium. The focus is on the determination of a data sampling strategy which allows to reduce the number of required measurements and at the same time keep the same performance in...

div>This paper deals with microwave subsurface imaging obtained by a migration-like inversion scheme, for a 2D monostatic scalar configuration and a two-layered background medium. The focus is on the determination of a data sampling strategy which allows to reduce the number of required measurements and at the same time keep the same performance in...

In this paper the problem of sampling the field radiated by a planar source observed over a finite planar aperture located in the near-field is addressed. The problem is cast as the determination of the spatial measurement positions which allow us to discretize the radiation problem so that the singular values of the radiation operator are well-app...

The aim of this work was to develop multimodal anthropomorphic breast phantoms suitable for evaluating the imaging performance of a recently-introduced Microwave Imaging (MWI) technique in comparison to the established diagnostic imaging modalities of Magnetic Resonance Imaging (MRI), Ultrasound (US), mammography and Computed Tomography (CT). MWI i...

In this paper, planar near field measurement techniques are addressed. In particular, a strategy to collect the near field data which allows to decrease the number of measurements and to foresee the plane wave spectrum within the valid angular region recently introduced in [10] is illustrated.

In this paper we are concerned with a microwave imaging problem for a non-magnetic two-layered background medium, where objects are buried in the lower half-space, and the scattered field is collected in the upper one according to a multi-monostatic configuration. In particular, we are interested in estimating the achievable transverse resolution....

Imaging buried objects embedded within electrically large investigation domains can require a large number of measurement points. This is impractical if long data acquisition time cannot be tolerated or the system is conceived to work at some stand-off distance from the air/soil interface; for example, if it is mounted over some flying platform. In...