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雷达成像算法性能研究
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摘要
合成孔径雷达通过发射大时带宽积信号获得距离向高分辨率,在方位向上则利用雷达平台相对于地面目标的运动产生回波多普勒信号,通过信号处理技术获得高分辨率,从而得到二维高分辨率图像,因此在军用和民用上都得到广泛的应用。
     本文主要研究两种成像算法,距离—多普勒(R-D)算法和Chirp Scaling算法,并分析算法的实现及其仿真结果和实际数据图像。通过仿真、分析和比较,得出它们的性能、适用范围和各自的优缺点。并对ISAR作了些介绍,ISAR的关键技术是运动补偿。并着重对平动补偿,包括包络对齐和初相调整的方法进行了介绍。
     最后对全文总结,并指出需要进一步解决的问题。
Synthetic Aperture Radar(SAR) can provide high-resolution image of range by emitting large time-bandwidth multiplication signal. In azimuth the platform of radar moving generates the echoed Doppler signal, and provides high-resolution image by signal processing. Two-dimensional high-resolution image could be obtained, so it is extensively applied in military and civil application.
    This thesis mainly studies two imaging algorithms which are Range-Doppler and Chirp Scaling, and analyzes the realization of the imaging algorithms and the results of simulation and raw data image. By comparison, their limitation, advantages and disadvantages are founded. The thesis also researches on ISAR, whose crucial technique is motion compensation. The translational motion compensation including range-bin alignment and phase compensation is introduced emphatically.
    At last the whole thesis is summarized and some important problems to be solved are pointed out.
引文
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