Feature extraction and target recognition of missile targets based on micro-motion

Abstract

The ballistic targets flying in the exo-atmosphere have different micro-motions, the micro-motion of warhead belongs to precession and that of decoy belongs to wobbling or tumbling. This paper investigates the micro-motion difference of warhead and decoy. First, we build the micro-motion model of precession, wobbling and tumbling, derive the micro-Doppler expression and analyze the characteristic of it. Second, with the broadband echo of the microwave anechoic chamber, we analyze the distribution characteristic of the high-resolution range profile (HRRP) serial under different micro-motions, judge whether or not the target is tumbling by finding whether there are intersections in the HRRP serial, and derive a method to estimate the top angle of the tumbling cone. Third, we simulate the time-frequency distribution(TFD) of one range cell of the broadband echo, and analyze the TFD difference of precession, wobbling and tumbling. At last, we put forth a method to recognize the target based on the HRRP serial and the TFD, and the experiment results proved our method to be effective.