Antonio Lazaro

Dr. Antonio Lazaro

Department of Electronic, Electrical, and Automatic Engineering, University Rovira i Virgili, 43007 Tarragona, Spain
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Research Focus & Metrics

Academic Career Length

43Years (1984-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2010 in Progress In Electromagnetics Research
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Journal Article
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ALAntonio Lazaro
Antonio Lazaro
DGDavid Girbau
David Girbau
RVRamon Villarino
Ramon Villarino

7 September 2012 in IEEE Transactions on Microwave Theory and Techniques
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DGDavid Girbau
David Girbau
ÁRÁngel Ramos
Ángel Ramos
ALAntonio Lazaro
Antonio Lazaro
SRSergi Rima
Sergi Rima
RVRamón Villarino
Ramón Villarino
In this paper, an RF identification sensor system is developed. It comprises passive sensors and an ultra-wideband (UWB) reader. The sensors are based on time-coded chipless tags. They consist of an UWB antenna connected to a delay line that is, in turn, loaded with a resistive temperature sensor. This sensor modulates the amplitude of the backscattered signals as a function of the temperature. The sensor tags are identified by changing the length of the delay line. In this paper, the operation principle and design of time-coded tags is presented and the integration of sensors in these tags is addressed. In addition, two measurement techniques are compared to implement the UWB reader. The first one is based on frequency sweeping and uses a vector network analyzer. The second one is based on a low-cost UWB radar. A full characterization of the sensor system is provided.

7 February 2014 in Sensors
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ALAntonio Lazaro
Antonio Lazaro
DGDavid Girbau
David Girbau
RVRamon Villarino
Ramon Villarino
This paper focuses on the feasibility of tracking the chest wall movement of a human subject during respiration from the waveforms recorded using an impulse-radio (IR) ultra-wideband radar. The paper describes the signal processing to estimate sleep apnea detection and breathing rate. Some techniques to solve several problems in these types of measurements, such as the clutter suppression, body movement and body orientation detection are described. Clutter suppression is achieved using a moving averaging filter to dynamically estimate it. The artifacts caused by body movements are removed using a threshold method before analyzing the breathing signal. The motion is detected using the time delay that maximizes the received signal after a clutter removing algorithm is applied. The periods in which the standard deviations of the time delay exceed a threshold are considered macro-movements and they are neglected. The sleep apnea intervals are detected when the breathing signal is below a threshold. The breathing rate is determined from the robust spectrum estimation based on Lomb periodogram algorithm. On the other hand the breathing signal amplitude depends on the body orientation respect to the antennas, and this could be a problem. In this case, in order to maximize the signal-to-noise ratio, multiple sensors are proposed to ensure that the backscattered signal can be detected by at least one sensor, regardless of the direction the human subject is facing. The feasibility of the system is compared with signals recorded by a microphone.

7 April 2009 in IEEE Transactions on Antennas and Propagation
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ALAntonio Lazaro
Antonio Lazaro
DGDavid Girbau
David Girbau
DSDavid Salinas
David Salinas
Radio frequency identification (RFID) applications are growing rapidly, especially in the UHF frequency band, which is being used in inventory management. Passive UHF tags are preferred for this application. However, the read range is often overestimated using free space calculations. This paper presents a method to estimate the read range in multipath environments. Other effects with a direct impact on read range as the effect of materials on tag performance are also addressed. Using the proposed model and the ray trace method a RFID system simulator is presented.

2 November 2018 in Sensors
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ALAntonio Lazaro
Antonio Lazaro
RVRamon Villarino
Ramon Villarino
DGDavid Girbau
David Girbau
In this article, an overview of recent advances in the field of battery-less near-field communication (NFC) sensors is provided, along with a brief comparison of other short-range radio-frequency identification (RFID) technologies. After reviewing power transfer using NFC, recommendations are made for the practical design of NFC-based tags and NFC readers. A list of commercial NFC integrated circuits with energy-harvesting capabilities is also provided. Finally, a survey of the state of the art in NFC-based sensors is presented, which demonstrates that a wide range of sensors (both chemical and physical) can be used with this technology. Particular interest arose in wearable sensors and cold-chain traceability applications. The availability of low-cost devices and the incorporation of NFC readers into most current mobile phones make NFC technology key to the development of green Internet of Things (IoT) applications.

21 August 2006 in IEEE Transactions on Electron Devices
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BIB. Iniguez
B. Iniguez
TFT.A. Fjeldly
T.A. Fjeldly
ALAntonio Lazaro
Antonio Lazaro
FDFrançois DANNEVILLE
François DANNEVILLE
Jamal DeenJamal Deen
Jamal Deen
Compact-modeling principles and solutions for nanoscale double-gate and gate-all-around MOSFETs are explained. The main challenges of compact modeling for these devices are addressed, and different approaches for describing the electrostatics, the transport mechanisms, and the high-frequency behavior are explained. Several approximations used to derive analytical solutions of Poisson's equation for doped and undoped devices are discussed, and the need for self-consistency with Schrodinger's equation and with the current continuity equation resulting from the transport models is addressed. Several techniques to extend the compact modeling to the high-frequency regime and to study the RF performance, including noise, are presented and discussed