Micro-motion feature extraction of space targets based on sinusoidal frequency modulation Fourier transform

Abstract

The space target can be discriminated from other objects by the micro-motion feature difference. The micro-motion features of a space target with precession include the spinning period, the precession angle and the precession period etc. The main work of this study is to extract the target micro-motion period from the echo by sinusoidal frequency modulation Fourier transform (SFMFT). The proposed method takes the advantages of the phase terms operation of the SFMFT. In the study, the micro-Doppler effect induced by precession is analysed and then present the algorithm step by step. Meanwhile, the simulation is given to demonstrate the validity of the proposed method.

Keywords

• feature extraction
• fm radar
• doppler radar
• amplitude estimation
• radar signal processing
• fourier transforms
• radar tracking
• target tracking
• aerospace instrumentation
• space target
• spinning period
• precession angle
• precession period
• target micromotion period
• microdoppler effect
• micromotion feature extraction
• micromotion feature difference
• sinusoidal frequency modulation fourier transform
• sfmft