Multiple target tracking based separation of Micro-Doppler signals from coning target

Abstract

Micro-Doppler (m-D) signature based target classification methods have received the intensive attention from the radar automatic target recognition (RATR) community. Since the m-D signals of a coning target with micro-motion are always multicomponent, it is important to separate these m-D frequency components for feature extraction and parameter estimation. This paper develops a separation algorithm based on multiple target tracking (MTT) technology, where the m-D frequency curves are assumed to be the tracks of maneuvering targets. The proposed method shows the good performance on the electromagnetic computation data in the experiments.