%0 Conference Paper %F Oral %T Radar Target Recognition using Time-Frequency Analysis and Polar Transformation %+ Lab-STICC_ENSTAB_CID_TOMS %A Cexus, Jean-Christophe %A Toumi, Abdelmalek %< avec comité de lecture %B 4th International Conference on Advanced Technologies For Signal and Image Processing (ATSIP'2018) %C Sousse, Tunisia %8 2018-03-21 %D 2018 %R 10.1109/ATSIP.2018.8364500 %K Target recognition %K Inverse Synthetic Aperture Radar %K Machine learning %K Time-Frequency Analysis %K Empirical Mode Decomposition %Z Engineering Sciences [physics] %Z Engineering Sciences [physics]/Signal and Image processingConference papers %X A new method for Automatic Radar Targets Recognition is presented based on Inverse Synthetic Aperture Radar ISAR). In this work, the first step is to construct ISAR images via a Non uniformly Sampled Bivariate Empirical Mode Decomposition Time-Frequency Distribution (NSBEMD-TFD) method. Indeed, this Time-Frequency representation is well suited for non-stationary signals analysis and provides high resolution with good accuracy. The obtained ISAR images is used to provide the evolution of two-dimensional spatial distribution of a moving target and, therefore, its are suitable to be used for radar target recognition tasks. In second step, a feature vectors are extracted from each ISAR images in order to describe the discriminative informations about a target. In the features extraction step, we computed several rings of polar space applied on ISAR image. Then, these rings is projected on 1-D vector. To ensure translation invariance of the obtained projected 1-D vector, a Fourier Descriptors are computed. In third step of this work, the recognition task is achieved using k-Nearest Neighbors (KNN), Fuzzy k-NN, Neural network and Bayesian classifiers. To validate our approach, simulation results are presented on a set of several targets constituted by ideal point scatterers models. %G English %L hal-01809365 %U https://ensta-bretagne.hal.science/hal-01809365 %~ UNIV-BREST %~ INSTITUT-TELECOM %~ ENSTA-BRETAGNE %~ CNRS %~ UNIV-UBS %~ ENSTA-BRETAGNE-STIC %~ ENIB %~ LAB-STICC %~ INSTITUTS-TELECOM