摘要
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。
This paper focuses on the problem of the space-variance of the range-cell migration term for bistatic Synthetic Aperture Radar （SAR） and proposes a Scaled Inverse Fourier Transform （SIFT）-based imaging algorithm for the constant-offset configuration of bistatic SAR data processing. Range-cell migration correction is realized when two times phase multiplies and a convolution operation are executed. Because the imaging algorithm is based on a precise spectrum that has been deduced from the Geometry-Based Formula （GBF） algorithm, the proposed algorithm can handle the bistatic SAR data, which were obtained with a large baseline to ratio. The advantages and effectiveness of the proposed imaging method have been verified by simulated and comparable experiments. Moreover, unlike other scaling-imaging algorithms that are dependent on the frequency modulated characteristics of the signal, the SIFT imaging algorithm is also suitable for phase-coded signals, which are used in a wider range of applications.
出处
《雷达学报（中英文）》
CSCD
2013年第1期14-22,共9页
Journal of Radars
基金
Supported by the National Natural Science Foundation of China(No. 61222108, 60890072)
the National Research Program of China ("973" Program) (No. 2010CB731903)
关键词
双基地合成孔径雷达
2维点目标频谱
变标逆傅里叶变换
Bistatic Synthetic Aperture Radar （SAR）
2D Point Target （PT） spectrum
Scaled Inverse Fourier Transform （SIFT）
