Paper Info
Title
ISAR image formation with a combined empirical mode decomposition and time frequency representation
Abstract
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.
Year
Venue
Keywords
2015
European Signal Processing Conference
Inverse Synthetic Aperture Radar,Image formation,Complex Empirical Mode Decomposition,Time Frequency Representation
Field
DocType
ISSN
Computer vision,Radar imaging,Computer science,Algorithm,Image formation,Fourier transform,Inverse synthetic aperture radar,Artificial intelligence,Time–frequency analysis,Time–frequency representation,Image resolution,Hilbert–Huang transform
Conference
2076-1465
Citations 
PageRank 
References 
0
0.34
12
Authors
3
Name
Order
Citations
PageRank
Bay Ahmed Hadj Ahmed100.34
Jean-Christophe Cexus2759.06
Abdelmalek Toumi3229.24