Microwave Sensing, Signals and Systems
Department of Microelectronics

dr.ing. V Carotenuto

Guest
Microwave Sensing, Signals and Systems (MS3), Department of Microelectronics

Expertise: Statistical signal processing, with an emphasis on radar signal processing

Biography

Vincenzo Carotenuto (Senior Member, IEEE) received the Dr. Eng. degree in telecommunication engineering and the Ph.D. degree in electronic and telecommunication engineering from the University of Naples Federico II, Naples, Italy, in 2010 and 2015, respectively. He is currently under research agreement with the Department of Electrical and Information Technology Engineering, University of Naples Federico II. His research interest lies in the field of statistical signal processing, with an emphasis on radar signal processing. He is also the co-recipient of the 2018 IEEE International Workshop on Metrology for Aerospace Best Radar Paper Award with the contribution ``Assessing Spectral Compatibility Between Radar and Communication Systems on Measured Data''.

Publications

  1. Testing Stationarity and Statistical Independence of Multistatic/Polarimetric Sea-Clutter with Application to NetRAD Data
    Aubry, Augusto; Carotenuto, Vincenzo; De Maio, Antonio; Fioranelli, Francesco;
    IEEE Transactions on Geoscience and Remote Sensing,
    pp. 1-1, 2024. DOI: 10.1109/TGRS.2024.3362872

  2. Assessing Radar Waveforms for Spectral Coexistence via the PARSAX System
    Aubry, A.; Carotenuto, V.; De Maio, A.; Fioranelli, F.; Krasnov, O.; Yarovoy, A.; van der Zwan, F.;
    IEEE Transactions on Aerospace and Electronic Systems,
    pp. 1-13, 2024. DOI: 10.1109/TAES.2024.3412867

  3. Experimental Evaluation of Radar Waveforms for Spectral Coexistence using the PARSAX radar
    Carotenuto, V.; Aubry, A.; De Maio, A.; Fioranelli, F.; Krasnov, O.; Yarovoy, A.; van der Zwan, F.;
    In 2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace),
    pp. 389-394, 2023. DOI: 10.1109/MetroAeroSpace57412.2023.10190037

  4. Exploring Homogeneity and Covariance Matrix Structure of Multistatic/Polarimetric Sea-Clutter Data
    Carotenuto, V.; Aubry, A.; De Maio, A.; Fioranelli, F.;
    In 2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace),
    pp. 401-406, 2023. DOI: 10.1109/MetroAeroSpace57412.2023.10190048

  5. Compatibility Assessment of Multistatic/Polarimetric Clutter Data with the SIRP Model
    Aubry, A.; Carotenuto, V.; De Maio, A.; Fioranelli, F.;
    IEEE Transactions on Aerospace and Electronic Systems,
    pp. 1-16, 2022. DOI: 10.1109/TAES.2022.3184916

  6. Multivariate Polarimetric Bistatic Clutter Statistical Analysis
    Carotenuto, V.; Aubry, A.; De Maio, A.; Fioranelli, F.;
    In 2022 IEEE Radar Conference (RadarConf22),
    pp. 1-6, 2022. DOI: 10.1109/RadarConf2248738.2022.9764239

BibTeX support

Last updated: 16 Dec 2022

Vincenzo Carotenuto

Alumnus
  • Left in 2022