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EXTENDED ENVELOPE CORRELATION FOR RANGE BIN ALIGNMENT IN ISAR

机译:ISAR范围箱对齐的扩展包络相关性

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Range bin alignment is the initial step for translational motion compensation in Inverse Synthetic Aperture Radar (ISAR) images. Envelope correlation with the use of reference profiles is widely known for this step. Here, an extension based on a sub-integer alignment is proposed. The Nelder-Mead algorithm is used for the optimisation step. The approach is compared with Global Range Alignment (GRA). Despite the performances of the two techniques are similar, the proposed algorithm is more robust in special cases. Live data from a high resolution Linear Frequency Modulated Continuous Wave (LFMCW) millimetre-wave radar are used to validate the technique and make the comparisons.
机译:范围箱对齐是逆合成孔径雷达(ISAR)图像中的翻译运动补偿的初始步骤。在此步骤中普遍熟知与使用参考轮廓的包络相关性。这里,提出了基于子整数对准的扩展。 Nelder-Mead算法用于优化步骤。该方法与全局范围对齐(GRA)进行比较。尽管两种技术的性能相似,所提出的算法在特殊情况下更具稳健。来自高分辨率线性频率调制连续波(LFMCW)毫米波雷达的实时数据用于验证该技术并进行比较。

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