Radio frequency identification (RFID) has become a key technology in the logistics and management industry, thanks to distinctive features such as low cost of RFID tags, easiness tags' deployment integration within items be tracked. In consequence, plays fundamental role so-called digital factory or 4.0 Industry, aiming increase level automatization industrial processes. addition, also been found great help improving tracking patients, medicines, medical assets hospitals, where...

The usage of unmanned aerial vehicles (UAVs)-based ground penetrating radar (GPR) systems has gained interest over the last years thanks to advantages ground-based systems, such as contactless inspection and capability, reach difficult-to-access areas. former is paramount importance concerning detection buried threats, improvised explosive devices (IEDs) landmines. Current state-of-the-art UAV-based GPR are able provide centimeter-level resolution use GPR-synthetic aperture (SAR) processing...

In recent years there has been an increasing research interest in the development of airborne-based Ground Penetrating Radar (GPR) systems for safe and fast detection buried threats such as landmines Improvised Explosive Devices (IEDs). Compared to other sensors metal detectors or magnetometers, GPR is able detect either metallic non-metallic targets. Besides, use Ultra Wide Band (UWB) radiofrequency hardware allows retrieving high resolution images subsoil, thus improving capabilities....

The aim of this paper is to present a freehand scanning system with compact mm-wave radar. In order achieve high-resolution images, the exploits free movements radar create synthetic aperture. However, in contrast conventional aperture (SAR), which canonical acquisition surfaces (e.g., planes or cylinders) are used, allows for given tolerance compatible real hand-made trajectories. Moreover, different techniques studied compensate impact irregular sampling reduce artifacts image. As result,...

A two-dimensional (2D) dynamically reconfigurable metasurface aperture is presented to perform frequency selective through wall imaging (TWI) with an unknown structure of the wall. Generally, in TWI, medium properties and thickness need be known advance, which not always possible. Moreover, compensating for these effects can significantly increase computational complexity. We propose a two-stage method that leverages concept antenna (DMA) narrow band are minimum TWI. First, two simple probe...

This work aims to simplify the characterization process of coded-apertures for computational imaging (CI) at microwave frequencies. A major benefit presented technique is minimization processing time needed calculate system sensing matrix CI-based compressive applications. To achieve this, a deep learning-based approach proposed which capable generating using features learned directly from coded-aperture distribution. avoid vanishing gradient problem, learning network contains skip...

Recent advancements in wave computing using metasurfaces are poised to transform wireless communications by enabling high-speed, energy-efficient, and highly parallelized signal processing. These capabilities essential meet the ultra-high data rates of up 1 terabit per second minimal latency as low millisecond required next-generation networks. Diverging from traditional digital processing, adopts continuous analog signals foster innovative functions such over-the-air computation, integrated...

In this paper, the challenge of enhancing efficiency computational imaging (CI) at microwave frequencies is addressed.While CI simplifies hardware complexity conventional techniques, it requires knowledge a sensing matrix that governed by aperture radiated fields.This can be computationally expensive process.As drastic alternative to approach, Pix2pix conditional generative adversarial network (cGAN) introduced learn intricate relationship between back-scattered measurements from scene and...

This paper aims to assess the possibilities of using current and incoming fifth generation (5G) devices as millimeter wave (mmWave) imagers. For this purpose, previous works about freehand scanning with compact working at mmWave frequencies are herein extended. In particular, a new tracking unit is now attached device so main parts imager, namely radiofrequency (RF) subsystems, become portable not depend on external systems. Specifically, work illustrates 5G band Results supporting that...

Airborne-based Ground Penetrating Radar (GPR) systems have proved to be an efficient solution for safe and accurate detection of buried threats such as Improvised Explosive Devices (IEDs) anti-personnel anti-tank landmines. The design these prototypes is influenced by several parameters the working frequency band or maximum weight size payload placed on board Unmanned Aerial Vehicle (UAV). In this sense, one main bottlenecks found in proper selection GPR antenna. This contribution focuses...

Dynamic metasurface antennas (DMAs) have recently been introduced as a computational imaging (CI) platform that offers significant advantages over conventional systems. Such are able to produce tailored radiation patterns later used encode the scene's information into few measurements. However, since signal is compressed, image reconstruction in frequency domain using range migration algorithm (RMA) cannot be directly applied CI-based apertures synthesized with DMAs. More sophisticated...

In recent years, Unmanned Aerial Vehicles (UAV)-based Ground Penetrating Radar (GPR) systems have been developed due to their advantages for safe and fast detection of Improvised Explosive Devices (IEDs) landmines. The complexity these requires performing extensive measurement campaigns in order test performance capabilities. However, UAV flights are limited by weather conditions battery autonomy. To overcome problems, this contribution presents a portable easily-deployable setup which can...

This article presents an agile system for antenna diagnosis. The is operated by means of freehand movements the probe avoiding need bulky positioners and thus providing portability to system. For that purpose, position, which required diagnosis algorithm, retrieved affordable quickly deployable motion capture position acquired field are used characterize under test computing equivalent currents distribution on aperture its far-field pattern in real-time. To achieve that, ad hoc workflow...

This article presents a portable system for freehand antenna diagnosis and characterization based on amplitude-only data. The samples are acquired by moving handheld probe, which is tracked motion capture system, in front of the under test (AUT) aperture. measurements processed using phaseless sources reconstruction method to compute an equivalent current distribution AUT Finally, radiation pattern can be obtained evaluating corresponding integrals. Unlike previous work, use data avoids need...

This work presents an approach to enhance the quality of high-resolution images obtained by means systems relying on synthetic aperture radar (SAR). For this purpose, a deep learning method called conditional generative adversarial networks (cGAN) is applied imager outcome when it prone suffer artifacts. specially case novel pushing limits SAR (e.g., irregular sampling, multilayered media, etc.) resulting in very chaotic clutter and image artifacts that cannot be easily removed with...

This paper proposes a deep learning-based motion deblurring method for radar images using point-spread function (PSF) estimations. Motion blur is common problem in imaging due to the movement of platform or target. The proposed uses convolutional neural network (CNN) learn mapping between blurred and sharp images. In addition, PSF estimated separate CNN. point spread utilized conjunction with input image reconstruct deblurred image. reconstruction process further optimized by incorporating...

Ground Penetrating Radar (GPR) systems on board Unmanned Aerial Vehicles (UAVs) have been successfully used for subsurface imaging applications. Their capability to detect buried targets avoiding the contact with soil turn these into a great solution threats, such as landmines and Improvised Explosive Devices (IEDs). Significant advances also conducted enhance detection capabilities of systems, complementing Synthetic Aperture (SAR) processing methods several clutter mitigation techniques....

A near-field (NF) measurement method stemming from the microwave computational imaging (MCI) concept is proposed in this letter.In an MCI system, sensing matrix comprises radiated fields of both transmitter and receiver.We demonstrate that, with apriori knowledge antenna radiating quasi-random patterns tailored for MCI, allows calculation NF distribution antenna-under-test (AUT).The technique follows a twostep process.First, system fixed calibration targets directly predicted backscattered...

This communication presents a freehand imaging system, which takes full advantage of compact multiple-input multiple-output (MIMO) radar to provide the real-time results by means movements. The system is based on commercial radar-on-chip, equipped with four receivers and two transmitters, an optical tracking (i.e., motion capture system) for retrieving its position attitude. reduced size enables handheld operation, making possible create synthetic aperture moving scanner over area interest....

Computational imaging has emerged as a promising paradigm to overcome some drawbacks of conventional radar systems based on raster scanning. This approach relies using compressive antennas that radiate quasi-random spatially-incoherent patterns, which in turn enables compress the information from imaged scene into single channel (or reduced number channels). Despite success computational for multiple free-space applications (such personnel screening), its extension deal with through-wall...