雷达成像识别的研究

Filter Back-Projection Algorithm Based on Spectral Extrapolation for ISAR Super-Resolution Imaging

研究雷达无线目标识别问题,针对传统方法成像散焦严重、分辨率低的问题,根据ISAR成像模型,利用滤波-逆投影(FBP)方法,实现逆合成孔径雷达(ISAR)超分辨成像。滤波-逆投影方法避免了散射中心点的散焦和位置偏移,改善了成像质量。结合谱外推的方法后,聚焦效果好,成像分辨率得到明显提高。选择适当的插值倍数,不仅简单易于实现,而且在计算上效率高。在进行2-D散射成像仿真验证时,结果证明了方法的有效性和准确性。

Contraposing the shortages df conventional methods, such as badly defocusing and low resolution in imaging, this paper researches the model of ISAR imaging and utilizes Filter Back-Projection algorithm based on spectral extrapolation to obtain ISAR super-resolution imaging. FBP algorithm avoids defoeusing and position excursion of the scattering center and increases the robustness. With the help of spectral extrapolation, they are focused well and the resolution is obviously improved. When a proper interpolation multiple is applied, the method is not only simple to implement, but also effective in computing. Simulation results show the availability and the accuracy of the presented approach.