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Application of optimal FrFT order for improving the azimuth resolution of range Doppler imaging algorithm

机译:应用最佳FRFT顺序改进范围多普勒成像算法的方位角分辨率

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摘要

The traditional range Doppler (RD) imaging algorithm has become the most intuitive and classical method in synthetic aperture radar (SAR) imaging processing because of its easy implementation and high processing efficiency. However, owing to the poor quality of the image produced by RD algorithm, this traditional imaging method is growing increasingly unable to meet practical needs. In an effort to solve the problem of poor azimuth imaging quality, this study proposes a high-resolution RD azimuth imaging algorithm. The expression of the optimal order of the SAR azimuth signals using fractional Fourier transform (FrFT) is derived in detail herein. A theoretical analysis shows that this optimal order is unique and depends on the azimuth imaging parameters. The experimental results based on airborne SAR simulation data and spaceborne SAR measurement data indicate that the azimuth resolution of the proposed algorithm is improved by 31.6 or 46.8% as against that of the traditional RD algorithm, whereas the peak side lobe ratio (PSLR) and integrated side lobe ratio (ISLR) values obtained via the proposed algorithm are approximately equivalent to those obtained via the traditional RD algorithm.
机译:传统的范围多普勒(RD)成像算法已成为合成孔径雷达(SAR)成像处理中最直观和经典的方法,因为其简单的实现和高处理效率。然而,由于RD算法生产的图像质量差,这种传统的成像方法越来越越来越能满足实际需求。为了解决方位成像质量差的问题,本研究提出了一种高分辨率RD Azimuth成像算法。本文详细地推导了使用分数傅里叶变换(FRFT)的SAR方位角信号的最佳顺序的表达。理论分析表明,这种最佳顺序是唯一的,取决于方位角成像参数。基于空机SAR仿真数据和星载SAR测量数据的实验结果表明,算法的方位分辨率提高了31.6或46.8%,与传统的RD算法相比,峰侧叶比(PSLR)和集成通过所提出的算法获得的侧瓣比(ISLR)值大致相当于通过传统RD算法获得的值。

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