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针对传统高分辨和宽测绘带以及高信噪比和宽测绘带之间的矛盾,提出一种基于脉内扫描面阵合成孔径雷达(SAR)系统的二维空域联合处理算法实现高信噪比、高分辨宽测绘带成像。文中首先建立脉内扫描面阵SAR系统模型,该系统采用低脉冲重复频率(PRF)获得宽测绘带信息,同时利用脉内扫描方式获得高信噪比的回波信号。对于低PRF采样宽多普勒谱(对应方位高分辨)引起的多普勒模糊以及脉内扫描引起的距离模糊,提出一种二维空域联合处理算法解距离和多普勒模糊,并且详细地分析了地形高度变化对解模糊算法的影响。最后,通过仿真实验验证了本文算法的有效性。
Aiming at the contradiction between traditional high resolution and wide swath and high signal to noise ratio and wide swath, a two-dimensional space-domain joint processing algorithm based on in-pulse scanning plane array synthetic aperture radar (SAR) system is proposed to realize high SNR , High resolution wide swath imaging. In this paper, a model of the in-plane scanning SAR is established firstly. The system uses a low pulse repetition frequency (PRF) to obtain the information of a wide swath. At the same time, an echo signal with high signal-to-noise ratio is obtained by means of intra-pulse scanning. For the Doppler spectrum caused by low PRF sampling (corresponding to high resolution) and the ambiguity of distance caused by intra-pulse scanning, a two-dimensional space-domain joint processing algorithm is proposed to solve the distance and Doppler ambiguity The influence of the change of terrain height on the de-fuzzy algorithm is analyzed. Finally, the simulation results verify the effectiveness of the proposed algorithm.