Prof. Emanuele Cardillo
University of Messina
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Academic Career Length
12Years (2015-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications20 January 2021 in IEEE Transactions on Microwave Theory and Techniques
Journal Article
This article presents a novel technique to remove the radar self-motion effects (RSMs) for an accurate detection of human vital signs. As opposed to the commonly used techniques, the proposed approach does not require any additional sensor, and instead, it extracts the RSM from the signals reflected by stationary clutters. Since the proposed technique requires to accurately identify the clutter range, two procedures for its automatic identification are proposed, aimed to detect both small and large radar motions. Besides allowing precise and reliable vital sign detection, it provides a compact, lightweight, comfortable, and cost-effective solution since potentially intrusive additional sensors are not required. Simulations have been carried out for validating the proposed approach, with an insight on the influence of different clutter radar cross sections on the sensitivity. Moreover, the effectiveness of the RSM cancellation has been experimentally demonstrated, showing its suitability for different applications, e.g., radar on moving platforms, vibrating tools, handheld devices, unmanned aerial vehicles, and cars.
18 January 2018 in IEEE Sensors Journal
Journal Article
Emanuele CardilloVMValentina Di Mattia
Valentina Di MattiaGMGiovanni Manfredi
Giovanni ManfrediPRPaola Russo
Paola Russo
Alfredo De LeoGCGraziano Cerri
Graziano Cerri
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The feasibility of an electromagnetic sensor to assist the autonomous walking of visually impaired and blind users is demonstrated in this paper. It is known that the people affected by visual diseases usually walk assisted by some supports, among which the white cane is the most common. Our idea consists in applying a microwave radar on the traditional white cane making aware the user about the presence of an obstacle in a wider and safer range. Compared to the already existing electronic travel aids devices, the proposed system exhibits better performance, noise tolerance, and reduced dimensions. In the following, the latest developments of this research activity are presented, with special concern for the miniaturization of circuit board and antennas. A laboratory prototype has been designed and realized and the first test results of obstacle detection are hereby shown to demonstrate the effectiveness of the system.
Journal Article
Emanuele Cardillo
Alina CaddemiThis paper reports a thorough overview on the last developments concerning the vital sign detection and the human localization employing the multiple-input-multiple-output (MIMO) technology. The wireless motion and vital sign detection represents an outstanding research area aimed at monitoring the health conditions of human subjects and at detecting their presence in different environments with minimal concern. MIMO radars exhibit several interesting advantages over conventional single-input-single-output architectures mainly related to their angle detection capabilities and enhanced signal-to-noise ratio. This paper describes the main features and details the operating principles of MIMO technology. Thereafter, it summarizes the state-of-the-art of the available solutions with the purpose of fueling the research activities on this hot topic.
18 October 2021 in IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology
Journal Article
This contribution presents an electronic travel aid for blind and visually-impaired people based on a millimeter wave radar and a traditional white-cane. It not only represents an advanced system able to warn the user of potential obstacles, but also discerns between human and nonhuman targets. Since real scenarios would likely have moving targets, a new range alignment technique has been proposed with the aim of detecting the tiny chest displacement due to the physiological activity as the key sign of the human presence. The proposed system is able to properly recognize humans in complex environments with multiple moving targets, thus providing to the user a complete set of information, namely presence, position and nature of the available targets. The operating principle and the effectiveness of the system are shown both by simulated case studies and by employing a 122 GHz radar board for carrying out suitable measurements.
Journal Article
Emanuele CardilloAlina CaddemiThis review deals with a comprehensive description of the available electromagnetic travel aids for visually impaired and blind people. This challenging task is considered as an outstanding research area due to the rapid growth in the number of people with visual impairments. For decades, different technologies have been employed for solving the crucial challenge of improving the mobility of visually impaired people, but a suitable solution has not yet been developed. Focusing this contribution on the electromagnetic technology, the state-of-the-art of available solutions is demonstrated. Electronic travel aids based on electromagnetic technology have been identified as an emerging technology due to their high level of achievable performance in terms of accuracy, flexibility, lightness, and cost-effectiveness.
21 September 2020 in IEEE Sensors Journal
Journal Article
Emanuele CardilloAlina CaddemiIn this paper, a new sensing approach for the automatic detection and ranging of human targets in cluttered environments is detailed. The person detection does not require to preliminarily define a target threshold, thus minimizing the likelihood of false alarm events. Moreover, the proposed approach allows to resolve the artifacts due to the presence of multiple objects within the same radiation beam without increasing the system complexity and cost. A powerful graphical representation, denominated range-breathing graph, is exploited for quickly making the reader aware of the exact human location, employing the breathing rate as the key element for discerning between humans and non-human targets. The method is analytically described while exhaustive simulations are carried out for confirming the reliability and suitability of the method with regard to the state of art. The effectiveness of the range-breathing separation approach is demonstrated by using two different radar boards operating at the frequencies of 24 GHz and 122 GHz. The obtained results show the general validity of this approach for identifying humans in complex cluttered scenarios.
About Me
He received an MSc degree in Electronic Engineering from the University of Messina, Italy, and a PhD degree from the University Mediterranea of Reggio Calabria, Italy, in 2013 and 2018, respectively. He is currently Assistant Professor at the University of Messina. His current research interests are focused on the microwave and mm-wave electronics field, mainly on compact radar systems for short-range applications, design of active and passive planar hybrid microwave integrated circuits (HMIC), linear and noise modeling of microwave field-effect transistors, linear and noise microwave measurements, realization of HMIC circuits and systems and nanosatellites. He served as a member of the organizing committee of the International Workshop on Integrated Nonlinear Microwave and Millimetre-wave circuits (INMMIC 2015). He serves as a TPC member of the Radio and Wireless Week (RWW) and Mediterranean Microwave Symposium (MMS) 2022. He was the recipient of the “IEEE Sensors Journal Best Student Paper Award” (2017/2018) and of the “IEEE Microwave Theory and Techniques (MTT-S) award” (2018). He is the chair of the Technical Committee “Microwave and Millimeter-Wave Radar Sensors” of the IEEE Sensors Council Italy Chapter.