Abstract A thermoacoustics imaging system is investigated in this paper to enhance conventional modalities geological subsurface situational awareness applications. While has traditionally been used biological scenarios like breast cancer detection, work aims extend geophysical applications by demonstrating that water‐saturated sand can be distinguished from dry and oil‐saturated based on their amplitude differences. This breakthrough enables the feasibility of monitoring water distribution...

This letter presents the simulated design and signal processing algorithms of a novel single-transceiver compressive reflector antenna for high-sensing-capacity imaging. The (CRA) generates spatial code in imaging region, which is dynamically changed by using mechanical rotation reflector. scattered data measured single transceiver processed sensing techniques order to perform 3-D reconstruction object under test. Preliminary results show that CRA outperforms traditional antennas terms...

This paper presents a novel norm-one-regularized, consensus-based imaging algorithm, based on the Alternating Direction Method of Multipliers (ADMM). algorithm is capable composite dielectric and metallic targets by using limited amount data. The distributed capabilities ADMM accelerates convergence imaging. Recently, Compressive Reflector Antenna (CRA) has been proposed as way to provide high-sensing-capacity with minimum cost complexity in hardware architecture. applied (CA) outperforms...

This paper describes a novel norm-one-regularized, consensus-based imaging algorithm, based on the Alternating Direction Method of Multipliers (ADMM), that can be used by high-sensing-capacity Compressive Reflector Antenna (CRA). The proposed method outperforms current state art iterative reconstruction algorithms in terms computational cost; and it ultimately enables use CRA quasi-real-time, compressive sensing applications.

This work designed a disturbance-observer-based nonlinear sliding mode surface controller (SMC) and validated the using simulated PX4-conducted quadcopter. To achieve this goal, research (1) developed dynamic mathematical model; (2) built PX4-based UAV following model-based design process; (3) appropriate control laws for each degree of freedom; (4) implemented disturbance observers on proposed SMC to finer rejection such as crosswind effect other mutational disturbances; (5) optimized...

Conventional multistatic radar systems using microwave and millimeter-wave (mm-wave) frequencies seek to reconstruct the target in imaging domain, employing many transmitting receiving antenna elements. These are suboptimal, that they do not take into consideration large mutual information existing between measurements. This paper reports a new mm-wave system for high sensing capacity applications. The is composed of compressive reflector (CRA), whose surface specially tailored by digitized...

The process of burn debridement is a challenging technique requiring significant skills to identify the regions that need excision and their appropriate depths.In order assist surgeons, machine learning tool being developed provide quantitative assessment burn-injured tissue.This paper presents three non-invasive optical imaging techniques capable distinguishing four kinds tissue-healthy skin, viable wound bed, shallow burn, deep burn-during serial in porcine model.All combinations these...

Digital Breast Tomosynthesis (DBT) can be fused with microwave Nearfield Radar Imaging (NRI) in order to improve breast cancer detection. This paper presents the design of a new miniaturized ultra-wideband Antipodal Vivaldi Antenna (AVA), which used such hybrid DBT/NRI mechatronic imaging device. The antenna is by using coupling media and substrate that have high effective dielectric constant. Preliminary results show designed has return loss above 9 dB 2.5 GHz frequency band.

This work presents an improved imaging algorithm for use in a hybrid Digital Breast Tomosynthesis (DBT) / microwave Nearfield Radar Imaging (NRI) system. By using compressive sensing techniques, this new is capable of reconstructing the dielectric constant and conductivity breast cancer with small number measurements.

Burn debridement is a challenging technique that requires significant skill to identify regions requiring excision and appropriate depth. A machine learning tool being developed in order assist surgeons by providing quantitative assessment of burn-injured tissue. Three noninvasive optical imaging techniques capable distinguishing between four kinds tissue-healthy skin, viable wound bed, deep burn, shallow burn-during serial burn porcine model are presented this paper. The combination all...

This paper describes a new coded interferometric system for sensing the physical temperature radiated from Earth's surface. The proposed consists of compressive reflector antenna (CRA) coated with metamaterial absorbers (MMAs). CRA and MMA are used to code received electromagnetic (EM) field in space frequency, at focal plane array. is modeled by an equivalent magnetodielectric medium having definite thickness. A high-frequency method based on optics build matrix system, inverse problem...

This letter presents the first experimental results of our three-dimensional (3D) millimeter-wave (mm-wave) Compressive-Reflector-Antenna (CRA) imaging system. In this prototype, CRA is 3D-printed and coated with a metallic spray to easily introduce pseudo-random scatterers on surface traditional reflector antenna (TRA). The performs pseudo random coding incident wavefront, thus adding spatial diversity in region enabling effective use compressive sensing (CS) techniques. fed...

This paper presents a new high-sensing-capacity system for active imaging. The proposed consists of Compressive Reflector Antenna (CRA) coated with Metamaterial Absorbers (MMA). creates spatial codification in the imaging domain, while MMA frequency spectral domain. To solve inverse problem, we built sensing matrix using high method based on Physical Optics; and an iterative Sensing algorithm (ADMM) is used to perform inversion. Numerical simulations consisting PEC targets reconstruction...

Conventional security screening systems cannot operate in real time and often suffer from false alarms due to the profile-only imaging without further analysis on object material properties. Reflectarrays were recently proposed as devices capable of performing real-time using a single-frequency radar signal. This article presents first physical optics (PO)-based simulation method facilitate design multireflectarray system. Then, an characterization geometrical (GO) is derived for such The...

Signals and Systems Theory (SST) plays a fundamental role in the educational professional background of electrical engineering other scientific areas knowledge. Many authors present this theory following scheme which is valid for general purposes, but they avoid to deal with more concepts wide range problems. The aim work develop Generalized (GSST) may be able describe many different problems rigorous way. A summary latest version GSST, including Transform (GT), Changes (GTC) Spectral...

This paper presents a novel high sensing capacity compressive imaging system, which is capable of human-size targets. The system uses an array Compressive Reflector Antennas (CRAs) in order to extend the domain single CRA. Moreover, multi-static electromagnetic cross-coupling adjacent CRAs used as mechanism improve performance. A physical optics method forward model; and Total Variation norm option, NESTA software, for performing imaging. Preliminary results show that providing accurate...

This paper presents three distributed techniques to find a sparse solution of the under-determined linear problem g = Hu with norm-1 regularization, based on Alternating Direction Method Multipliers (ADMM). Each one these divide matrix H into submatrices by rows, columns, or both rows and leading so-called consensus-based ADMM, sectioning-based consensus respectively. They are validated for particular millimeter-wave imaging use Compressive Reflector Antenna (CRA). The CRA is hardware...

This letter assesses the performance of two Antipodal Vivaldi Antennas, which have been previously designed for a fused DBT/NRI breast imaging system, through simple experiments. In first experiment, s-parameters both antennas, when they are positioned front-to-front, obtained and compared with simulations. second capability antennas in detecting metallic bearing ball submerged sunflower oil is evaluated. A mechatronic system used to move over ball, scattered field measured using vector...

Signals and Systems Theory (SST) is an essential subject in the educational professional background of electrical engineering as well many other scientific areas. Many authors present this theory following a scheme which valid for analysis general problems, but they avoid to deal with more concepts, leaving out wide range problems. The purpose our work develop Generalized (GSST) can include different problems rigorous mathematical way. introduction Rigged Hilbert Spaces (RHS) important point...

Abstract Accurate predictions of fluid flow, mass transport, and reaction rates critically impact the efficiency reliability subsurface exploration sustainable use resources. Quantitative dynamical sensing imaging can play a pivotal role in ability to make such predictions. Geophysical thermoacoustic technology has potential provide aforementioned capabilities, since it builds upon principle that electromagnetic mechanical wave fields be coupled through thermodynamic process. In this letter,...

This paper describes a new coded sensing system used for imaging metallic objects in its near-field region. The presented is composed of compressive reflector antenna (CRA) coated with metamaterial absorbers (MMAs), order to generate spatial and spectral codes the domain. are designed reduce mutual information between successive measurements, which results higher capacity system. performance proposed MMA-based CRA compared that traditional (TRA) without MMAs. Numerical examples PEC targets...

Machine learning techniques have been recently applied for discriminating between Viable and Non-Viable tissues in animal wounds, to help surgeons identify areas that need be excised the process of burn debridement. However, presence outliers training data set can degrade performance discrimination. This paper presents an outlier removal technique based on Mahalanobis distance improve accuracy detection skin human injuries. The iteratively application this improves results a 13.6% when...