Fractional Range Doppler Algorithm for SAR imaging
Fractional Range Doppler Algorithm for SAR imaging
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发表时间：
2010-09
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通讯作者：
C. Clemente;J. Soraghan
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作者：
C. Clemente;J. Soraghan
合成孔径雷达系统通常用于从雷达后向散射形成高分辨率图像。分数阶傅里叶变换（FrFT）是傅里叶变换的一种推广形式，它开辟了一个新的应用领域，包括模式识别和SAR等。本文将分数阶傅里叶变换应用于已有的距离-多普勒算法，以获得在分辨率和噪声抑制方面的上级结果。结果表明，FrFT可以用于执行高分辨率SAR处理，并减少斑点噪声，同时提高分辨率和聚焦精度。
Synthetic Aperture Radar systems are normally used to form high resolution images from radar backscatter. The Fractional Fourier transform (FrFT), which is a generalized form of the well-known Fourier transform, has opened up the possibility of a new range of potentially promising and useful applications that involve the use and detection of chirp signals including pattern recognition and SAR. In this paper the FrFT is applied to the well established Range Doppler Algorithm in order to obtain a superior result in terms of resolution and noise rejection. The results confirm that the FrFT can be useful to perform high resolution SAR processing and to reduce the speckle noise while enhancing the resolution and focusing accuracy.