An Improved FS Algorithm for Range Anti-aliasing of FMCW SAR
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摘要: 原始的频率变标算法(Frequency Scaling, FS)用于调频连续波SAR 成像处理时,会导致严重的距离频谱混叠。该文从频率变标算法原理出发,结合傅立叶变换的尺度变换性质从距离时域和距离频域的角度进行分析,通过引入归一化因子,提出了一种消除距离频谱混叠的改进FS 算法。该算法保留了原RVP 项,并且不改变原始FS算法的处理步骤和处理效率。最后利用该算法对点目标进行聚焦成像,验证了该算法的有效性。Abstract: Conventional Frequency Scaling (FS) algorithm is applied to process Frequency Modulated Continuous Wave (FMCW) SAR, which will lead a heavy range frequency aliasing. Through analyzing basic principle of the FS algorithm and combining the scaling propertation of the Fourier transform, with the presence of a constant factor, this paper proposed a improved frequency scaling algorithm for range anti-aliasing. The proposed algorithm holds performance of the conventation one and just removes the aliasing. The successfully imaging a point target shows the validity of the proposed method.
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