圆周SAR子孔径频域成像处理方法研究

圆周合成孔径雷达(Circular Synthetic Aperture Radar,CSAR)因具有超高分辨率、三维成像能力、全方位信息获取等优势已经成为雷达领域的研究热点.在实际应用中,场景中目标通常仅在较小观测角度内具有近似恒定的散射特性.为此本文提出了一种基于子孔径划分的CSAR频域成像处理方法,该方法相比于时域成像处理具有更高的处理效率.文中给出了CSAR回波的频谱表达形式并深入分析了其特性;提出了CSAR子孔径频域成像处理的基本流程,理论上详细论证了文中所提算法的可行性.最后仿真试验证实了文中所提信号模型及成像处理流程的正确性.

Fourier-Based Sub-aperture Imaging Algorithm for Circular Synthetic Aperture Radar

With the characteristics like super-high resolution,three-dimensional imaging,and all-aspect angle observa-tion,circular synthetic aperture radar (CSAR) has become the hotspot in the field of SAR.In practice,almost all the ob-served targets are anisotropic targets thus it is not necessary to carry out the coherent processing within the whole aperture. Correspondingly,a Fourier-based sub-aperture imaging flow which has higher efficiency is proposed.The expression and a-nalysis of the spectrum of CSAR are presented,as well as the proposed Fourier-based imaging flow.Theoretical analysis and simulation test depict that both the proposed signal model and the imaging flow are available for CSAR.