基于极坐标格式算法的地基雷达数据处理方法

Ground-based radar data processing method based on polar coordinate format algorithm

  • 摘要: 近年来,地基合成孔径雷达(Ground-based synthetic aperture radar,GBSAR)被广泛应用于地表形变监测和大型建筑物形变监测。极坐标格式算法(Polar Format Algorithm,PFA)是一种典型的聚束SAR高分辨率成像算法,本文针对地基SAR应用于特定监测目标场景这种应用背景,将极坐标格式算法应用于其中,提出了一种基于极坐标格式算法的地基雷达数据处理方法,建立了地基雷达的成像几何,从信号的相位历程这一角度分析了该方法的基本原理,引进多项补偿因子并提高了方位向的分辨率,最后通过仿真数据和实测数据验证了该理论方法的正确性和可行性。

     

    Abstract: In recent years, Ground-based Synthetic Aperture Radar (GBSAR) has been widely used in surface deformation monitoring and large building deformation monitoring. Polar Format Algorithm (PFA) is a typical high-beam imaging algorithm for spotlight SAR, this paper applies the application of ground-based SAR to specific monitoring target scenes, and applies polar coordinate format algorithm to it, a ground-based radar data processing method based on polar coordinate format algorithm is proposed. The imaging geometry of ground-based radar is established, the basic principle of the method is analyzed from the perspective of the phase history of the signal, and multiple compensation factors are introduced and the azimuth resolution is improved. Finally, the correctness and feasibility of the theoretical method are verified by simulation data and measured data.

     

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