Michel Chris, Keller Sina
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.
Sensors (Basel). 2021 Mar 20;21(6):2172. doi: 10.3390/s21062172.
In this study, we further develop the processing of ground-based interferometric radar measurements for the application of bridge monitoring. Applying ground-based radar in such complex setups or long measurement durations requires advanced processing steps to receive accurate measurements. These steps involve removing external influences from the measurement and evaluating the measurement uncertainty during processing. External influences include disturbances caused by objects moving through the signal, static clutter from additional scatterers, and changes in atmospheric properties. After removing these influences, the line-of-sight displacement vectors, measured by multiple ground-based radars, are decomposed into three-dimensional displacement components. The advanced processing steps are applied exemplarily on measurements with two sensors at a prestressed concrete bridge near Coburg (Germany). The external influences are successfully removed, and two components of the three-dimensional displacement vector are determined. A measurement uncertainty of less than 0.1 mm is achieved for the discussed application.
在本研究中，我们进一步改进了地基干涉雷达测量处理方法，以用于桥梁监测。在如此复杂的设置或长时间测量中应用地基雷达，需要先进的处理步骤才能获得准确的测量结果。这些步骤包括消除测量中的外部影响，并在处理过程中评估测量不确定度。外部影响包括信号传播路径上物体移动引起的干扰、额外散射体产生的静态杂波以及大气特性的变化。去除这些影响后，由多个地基雷达测量得到的视线位移矢量被分解为三维位移分量。我们以德国科堡附近一座预应力混凝土桥梁上两个传感器的测量为例，应用了这些先进的处理步骤。成功消除了外部影响，并确定了三维位移矢量的两个分量。对于所讨论的应用，测量不确定度小于0.1毫米。
