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针对频率步进合成孔径雷达(SAR)采用经典逆傅里叶变换成像方法时距离维无模糊测绘带宽度有限的问题,提出一种将频率步进SAR脉冲串信号等效为沿航迹分布的虚拟阵列雷达信号的模型及成像处理方法,并利用改进的后向投影算法实现对目标的无模糊成像。建立了频率步进SAR虚拟阵列模型,给出了基于该模型的高分辨距离像合成方法,并通过在原始后向投影算法的基础上引入距离偏移校正和二次相位补偿,实现了对目标的精确二维成像。结果表明:频率步进SAR虚拟阵列模型成像方法不受频率步进雷达无模糊测绘带宽度的理论限制,可以实现较宽测绘带内各目标的无模糊、快速成像。
Aiming at the problem of limited ambiguity width of distance dimension in the case of classical inverse Fourier transform imaging in frequency-stepped Synthetic Aperture Radar (SAR), a new method is proposed in which frequency-stepped SAR pulse train signal is equivalent to distribution along the track Virtual array radar signal model and imaging processing methods, and the use of improved backward projection algorithm to achieve the goal of fuzzy image. A virtual array model of frequency step-by-step SAR is established. A high-resolution distance image synthesis method based on this model is given. By introducing distance offset correction and quadratic phase compensation based on the original backward projection algorithm, Accurate two-dimensional imaging. The results show that the proposed method is not limited by the ambiguous bandwidth of frequency stepping radar, and can realize the ambiguous and fast imaging of the targets in a wide area.