Projects per year
Personal profile
Personal Statement
I am a Reader at the University of Strathclyde working on Sensor Signal Processing. In particular my research is focussed on sensor signal processing for defence and civilian applications, with a specific interest on Radar signal processing. I am currently involved in defence projects, collaborating with governmental institutions, industries and universities from the USA, China and Europe.
My research portfolio comprise Automatic Target Recognition, Multi-static, MIMO , Passive and Cognitive radars and all the techniques that can be classified as emerging radar techniques. Furthermore I am interested in transferring the solutions developed in the defence and security scenarios to other fields such as industrial condition monitoring and bio-medical signal processing.
Research Interests
My research interests lies in: signal processing, statistical signal processing, sparse representation, image processing, advanced radar techniques, micro-Doppler signature analsysis and extraction, Automatic Target Recognition, MIMO radar signal processing and waveform design.
Expertise & Capabilities
- Signal Processing
- Statistical Signal Processing
- Radar Imaging
- Multistatic Radar
- Micro-Doppler analysis
- Automatic Target Recognition
- CFAR detection from Synthetic Aperture Radar
Keywords
- Signal processing
- Radar signal processing
- Statistical Signal Processing
- Radar system design
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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NEU4SST – Neuromorphic Processing for Space Surveillance and Tracking
Di Caterina, G., Clemente, C., Macdonald, M. & Kirkland, P.
15/06/22 → 31/03/23
Project: Research
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Innovative solutions based on the EM-algorithm for covariance structure detection and classification in polarimetric SAR images
Han, S., Addabbo, P., Biondi, F., Clemente, C., Orlando, D. & Ricci, G., 1 Feb 2023, In: IEEE Transactions on Aerospace and Electronic Systems. 59, 1, p. 209-227 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Downloads (Pure) -
On input formats for radar Micro-Doppler signature processing by convolutional neural networks
Czerkawski, M., Clemente, C., Michie, C. & Tachtatzis, C., 27 Oct 2022, p. 1-6. 6 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile25 Downloads (Pure)
Datasets
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Human Walking Motion Radar Simulator
Czerkawski, M. (Creator), Clemente, C. (Supervisor) & Tachtatzis, C. (Supervisor), Zenodo, 2 Feb 2021
DOI: 10.5281/zenodo.4245158, https://github.com/cidcom/human-walking-radar-simulator/tree/0.1.1
Dataset
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Data for: "Automatic target recognition in low resolution foliage penetrating SAR using CNNs and GANs"
Vint, D. (Creator), Di Caterina, G. (Contributor) & Clemente, C. (Contributor), University of Strathclyde, 6 Sep 2021
DOI: 10.15129/2887eacb-8ef3-40a4-a0c6-d4fb803db82f
Dataset
Prizes
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2nd place in Copernicus Masters 2020: BMVI Transport Challenge
McGrath, Ciara (Recipient), Clark, Ruaridh (Recipient), Macdonald, Malcolm (Recipient), McKee, David (Recipient), Clemente, Carmine (Recipient), Ilioudis, Christos (Recipient) & Gibbons, Gwilym (Recipient), 8 Dec 2020
Prize: Prize (including medals and awards)
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Best Paper at the Radar Session of the Metrology For Aerospace Workshop 2020 with the paper " Gait Recognition using FMCW Radar and Deep Convolutional Neural Network"
Clemente, Carmine (Recipient), Addabbo, P. (Recipient), Orlando, Danilo (Recipient), Biondi, Filippo (Recipient), Cimitile, Marta (Recipient) & Bernardi, Mario Luca (Recipient), 2020
Prize: Prize (including medals and awards)