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Communication Dans Un Congrès Année : 2017

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

Résumé

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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Dates et versions

hal-01670756 , version 1 (08-01-2018)

Identifiants

Citer

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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