Micro-motion characteristic analysis and recognition of cone-shaped targets

When the cone-shaped target is flying in exo-atmosphere,the micro-motion of the target belongs to a precession and that of the decoy belongs to a spin or a wobble.Because they are different in micro-motion,the characteristic spectrum is extracted as a recognition feature.The paper models multi-section radar signals and analyzes the micro-Doppler signature of the warhead and the decoy.Although the micro-Doppler Spectrum of precession targets,wobble targets and spin targets is approximated as a line-Spectrum,but there is a significant difference.Based on the harmonic model,eigenvalue decomposition is applied to compute the eigenvalue as the recognition feature.Simulation proves that the method is effective.