Multi-Feature Fusion Recognition of Space Micromotion Target

This paper proposes a recognition method of space micro-motion targets based on decision fusion. The proposed method extracts a 7-dimension(7D) feature vector including the information of time, Doppler, joint time-frequency(JTF) domains from the radar cross section (RCS); while extracts the inverse Radon transform pseudo-Zernike (IRT-pZ) feature from the JTF image. Finally, particle swarm optimization (PSO) is adopted to decision-level fusion, so as to realize high-precision recognition. The recognition results of electromagnetic simulated data under various conditions have demonstrated the effectiveness and robustness of the proposed method.