Enhancing micro-Doppler classification using Superlet based time-frequency distribution
Mignone, Luca and Ilioudis, Christos and Clemente, Carmine and Ullo, Silvia (2023) Enhancing micro-Doppler classification using Superlet based time-frequency distribution. IEEE Transactions on Aerospace and Electronic Systems, 59 (6). pp. 9831-9838. ISSN 0018-9251 (https://doi.org/10.1109/TAES.2023.3312064)
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Abstract
Classical time-frequency (TF) distributions, as the short time Fourier transform (STFT) or the continuous wavelet transform (CWT), aim to enhance either the resolution in time or frequency, or attempt to strike a balance between the two. In this article, we demonstrate how a super resolution technique, the superlet-based TF distribution, named superlet transform (SLT), can boost the performance of existing classification algorithms relying on information extraction from the micro-Doppler signature. SLT is applied to provide a TF distribution with finer resolutions that would boost the performance of micro-Doppler classification approaches based on TF distributions (TFDs). This work shows the effectiveness of the integration of SLT in the processing pipeline with verification on real radar data.
ORCID iDs
Mignone, Luca, Ilioudis, Christos ORCID: https://orcid.org/0000-0002-7164-6461, Clemente, Carmine ORCID: https://orcid.org/0000-0002-6665-693X and Ullo, Silvia;-
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Item type: Article ID code: 86689 Dates: DateEvent1 December 2023Published5 September 2023Published Online25 August 2023AcceptedNotes: © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > Measurement Science and Enabling Technologies
Strategic Research Themes > Ocean, Air and SpaceDepositing user: Pure Administrator Date deposited: 06 Sep 2023 13:39 Last modified: 28 Sep 2024 14:14 URI: https://strathprints.strath.ac.uk/id/eprint/86689