Research on Micro-motion Target Feature Extraction Based on Inverse Synthetic Aperture Laser Radar

Synthetic aperture laser radar (inverse) combines the technology of laser radar with synthetic aperture, which has high imaging resolution, strong anti-interference, and good concealment. Due to the short laser wavelength and fast imaging time, the tiny vibrations of the moving target may achieve the target inverse synthetic aperture (range-Doppler) imaging in a very short time, which increases identification characteristics compared to the traditional optical remote point target detection and recognition; it reduces the complexity of data processing compared to radar, and optical imaging is easier to understand. Therefore, synthetic aperture laser radar has the advantages of both optics and radar, and has attracted more and more attention in long-distance target detection and recognition. Since 1960's, MIT Lincoln Laboratory has conducted research on the long-range target tracking and identification using laser radar. In this paper, the micro-motion feature extraction and recognition method for inverse synthetic aperture laser radar after target imaging is studied. The target images of different micro-motion form are analyzed by range-Doppler imaging model, and the geometric features of the target are extracted by the optical target segmentation algorithm. The Hough transform theory is used to extract the characteristics of the micro-motion period, and the micro-motion angle is inversed through the change of the target geometric features. The simulation test in field shows that this method can effectively extract the micro-motion characteristics of the target and lay a foundation for the micro-motion target recognition of synthetic aperture laser radar.