Feature Extraction of Space Nutation Cone-Shaped Targets Based on Radar Network

Micro-motion feature is one of the crucial features used for ballistic target recognition. Aiming at the problem that single-view observation can't extract the nutation parameters, a novel algorithm based on the radar network is proposed to extract the target features. Firstly, the nutation model of cone-shaped target is built, the micro-Range modulation trait caused by nutation is analyzed in detail. Then under the precondition of considering the invisible problem of scattering centers, each scattering center in different perspectives is matched based on the scattering center' micro Range difference, and the periodicity of target nutation is proved by Bessel function expansion, what' more, the target nutation and configuration parameters are estimated by utilizing the change rule of nutation angle combined with curve fitting method. Finally, Simulation results are given for validating the proposed algorithms.