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Improved weighted least-squares phase unwrapping method for interferometric SAR processing

机译:用于干涉式SAR处理的改进的加权最小二乘相展示方法

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摘要

Based on the study of existed least-squares and weighted least-squares phase unwrapping methods, an improved weighted least-squares algorithm based on unwrapping phase error compensation is proposed. First, the conventional weighted least-squares method is used to get the initial result of phase unwrapping. Then the unwrapping result is optimised by iterative compensation of phase unwrapping error. In addition, for the reasonable selection of the times of iteration, an iterative mechanism is designed to avoid the redundant or insufficient compensation caused by too many iterative times and too few. Compared with the traditional weighted least-square method, by using the proposed method, the global influence of phase noise is constrained by weighted processing, and meanwhile, the accuracy of phase unwrapping is greatly improved by iterative error compensation. The simulation results confirm the superiority of the proposed method.
机译:基于存在于存在最小二乘和加权最小二乘相位展开方法的研究,提出了一种基于解映射相位误差补偿的改进的加权最小二乘算法。首先,使用传统的加权最小二乘方法来获得相位展开的初始结果。然后通过相位展开错误的迭代补偿来优化展开结果。此外,对于合理的选择迭代时间,迭代机制旨在避免由太多迭代时间和太少的冗余或不足的补偿。与传统的加权最小二乘法相比,通过使用所提出的方法,相位噪声的全局影响受加权处理的约束,同时,通过迭代误差补偿大大提高了相位展开的准确性。仿真结果证实了所提出的方法的优越性。

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  • 来源
    《The Journal of Engineering》 |2019年第20期|6471-6474|共4页
  • 作者单位

    Nanjing Res Inst Elect Technol Nanjing Jiangsu Peoples R China;

    Nanjing Res Inst Elect Technol Nanjing Jiangsu Peoples R China;

    Nanjing Res Inst Elect Technol Nanjing Jiangsu Peoples R China;

    Nanjing Res Inst Elect Technol Nanjing Jiangsu Peoples R China;

    Nanjing Res Inst Elect Technol Nanjing Jiangsu Peoples R China;

    Nanjing Res Inst Elect Technol Nanjing Jiangsu Peoples R China;

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  • 正文语种 eng
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