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Communication dans un congrès

Quantitative measures in ISAR image formation based on Time-Frequency Representations

Jean-Christophe Cexus 1, 2 Abdelmalek Toumi 1, 2 Orian Couderc 3, 1, 2
1 Lab-STICC_ENSTAB_CID_TOMS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
2 Pôle STIC_REMS
ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne
Abstract : This paper proposes to adapt the Empirical Mode Decomposition Time-Frequency Distribution (EMD-TFD) to non-analytic complex-valued signals. This original method employs the Non uniformly Sampled Bivariate Empirical Mode Decomposition (NSBEMD) to design a filter in the ambiguity domain and clean the Time-Frequency Distribution (TFD) of the signal. This new approach is called NSBEMD-TFD. The suggested adaptation is used in the generation of Inverse Synthetic Aperture Radar (ISAR) image and compared to other Time-Frequency Representation (TFR) such as Spectrogram, Wigner-Ville Distribution (WVD).. .. Furthermore, two criteria to qualify TFD are adjusted to be perform on ISAR images generated by TFD. This method, called NSBEMD-TFD, and those criteria are tested on simulated data and also on data acquired from an anechoic chamber.
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https://hal-ensta-bretagne.archives-ouvertes.fr/hal-01670756
Contributeur : Jean-Christophe Cexus <>
Soumis le : lundi 8 janvier 2018 - 10:24:45
Dernière modification le : vendredi 26 juin 2020 - 14:34:02
Archivage à long terme le : : mercredi 2 mai 2018 - 11:08:49

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Jean-Christophe Cexus, Abdelmalek Toumi, Orian Couderc. Quantitative measures in ISAR image formation based on Time-Frequency Representations. 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) , May 2017, Fez, Morocco. ⟨10.1109/ATSIP.2017.8075610⟩. ⟨hal-01670756⟩

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