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针对串行双基地合成孔径雷达(SAR)中的距离徙动的空变问题,该文提出了一种变标逆傅里叶变换成像算法,通过两次相位相乘和一次卷积操作实现距离徙动的精确校正。该算法基于一种由几何关系公式方法推导出的严格解析双基点目标频谱,可以完成长基线距离比条件下的串行双基 SAR 的数据处理。仿真实验和对比实验验证了该算法的有效性和优越性。此外,不同于其他的变标算法,该变标逆傅里叶变换(SIFT)成像算法不依赖于信号的线性调频特性,同样适用于相位编码信号,有更广的适用范围。
In order to solve the problem of the space migration in the serial bistatic synthetic aperture radar (SAR), a novel inverse transform algorithm based on inverse Fourier transform is proposed. The distance multiplication and the first convolution Precise correction of migration. The algorithm is based on a rigorous analysis of the two-base-point target spectrum derived from the geometric relational formula method and can accomplish the data processing of serial bistatic SAR with long baseline distance ratio. Simulation experiments and comparison experiments verify the effectiveness and superiority of the proposed algorithm. In addition, unlike other scaling algorithms, the SIFT algorithm does not depend on the chirp characteristics of the signal and is equally applicable to phase-coded signals and has wider applicability.