RADAR TARGET DETECTION AND CLASSIFICATION USING WAVELET SCATTERING AND NEURAL NETWORK

Abstract

Radars are used in a variety of environments, and their main purpose is to achieve the correct target detection. One of the most important research issues and technologies in modern radar is moving target classification and identification using radar echoes. This study has explained the theory of radar and usage of wavelet scattering and backscattering to classify a target. A short introduction for neural network and Long Short-Term Memory is explained and what is their contribution in classification and reduction of time required to complete the radar target detection.