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A new method for Doppler centroid estimation for spaceborne SAR based on chirp scaling algorithm

机译:基于啁啾缩放算法的空间SAR多普勒质心估计新方法

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We introduce a new method to estimate the Doppler centroid accurately based on chirp scaling algorithm after investigating the performances of curvature factor Cs and the effective FM rate Ks regarding to Doppler ambiguity number (DAN) and finding that Cs and Ks will lose their functions if a wrong DAN is used and the generated image definition will be degraded. So relations between definition evaluation functions (such as entropy and variance) and the DAN can be used to find the correct DAN which makes the entropy minimum or the variance maximum. Radarsat raw data is used to test the proposed method and find that the performance of using variance is better than that of using entropy.
机译:我们在研究曲率因子CS的性能和关于多普勒歧义数(DAN)的有效FM速率Ks后,基于Chirp Scaling算法准确地估计多普勒质心的新方法,以及关于多普勒歧义号(DAN)并发现CS和KS将失去其功能使用错误的DAN,生成的图像定义将劣化。因此,定义评估函数之间的关系(例如熵和方差)和DAN可以用于找到正确的丹麦,这使得最大值或差异最大。 RADARSAT原始数据用于测试所提出的方法,并发现使用方差的性能优于使用熵的性能。

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