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.

2D Teager-Kaiser Energy Operator for the translation motion compensation in ISAR signatures

“…Although the problematic of the rotational motion compensation is not studied in this article, it is interesting to note that there are also many algorithms such as interpolation methods [2] and, Time-Frequency Transforms [3], [20]. Figures 11(a) and 11(b) show one frame ISAR image formation using Spectrogram and NSBEMD-TFD algorithm respectively.…”