ISAR Image formation with a combined Empirical Mode Decomposition and Time-Frequency Representation

Ahmed Hadj Bay Ahmed (1, 2) , Jean-Christophe Cexus (1, 2) , Abdelmalek Toumi (1, 2)

1 Lab-STICC_ENSTAB_CID_TOMS
2 Pôle STIC_REMS

In this paper, a method for Inverse Synthetic Aperture Radar (ISAR) image formation based on the use of the Complex Empirical Mode Decomposition (CEMD) is proposed. The CEMD [1] which based on the Empirical Mode Decomposition (EMD) is used in conjunction with a Time-Frequency Representation (TFR) to estimate a 3-D time-range-Doppler Cubic image, which we can use to effectively extract a sequence of ISAR 2-D range-Doppler images. The potential of the proposed method to construct ISAR image is illustrated by simulations results performed on synthetic data and compared to 2-D Fourier Transform and TFR methods. The simulation results indicate that this method can provide ISAR images with a good resolution. These results demonstrate the potential application of the proposed method for ISAR image formation.

Mots clés: Inverse Synthetic Aperture Radar; Image formation; Complex Empirical Mode Decomposition; Time-Frequency Representation

Domaines: Traitement du signal et de l'image [eess.SP]

Ahmed Hadj Bay Ahmed, Jean-Christophe Cexus, Abdelmalek Toumi. ISAR Image formation with a combined Empirical Mode Decomposition and Time-Frequency Representation. EUSIPCO, Aug 2015, Nice, France. pp.1366-1370. ⟨hal-01241477⟩