| 改善单基站CORS RTK测量精度的自适应卡尔曼滤波算法 |
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| 引用本文： | 陈长坤,余学祥,石长伟,肖明,苏迪.改善单基站CORS RTK测量精度的自适应卡尔曼滤波算法[J].全球定位系统,2018,43(3):56. |
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| 作者姓名： | 陈长坤 余学祥 石长伟 肖明 苏迪 |
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| 作者单位： | 安徽理工大学 测绘学院,安徽 淮南 232001 |
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| 摘 要： | 针对单基站CORS RTK在矿山开采沉陷地表移动变形监测中测量精度偏低的问题,构建基于方差分量估计原理的自适应卡尔曼滤波算法,以CORS RTK在各历元采集的平面坐标与正常高为基础,利用CORS RTK实测数据并对比分析四等水准测量成果,分析得出滤波后的CORS RTK测量精度得到了较大的提高,并满足矿山开采沉陷地表移动变形监测的精度要求。
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| 关 键 词： | 单基站CORS RTK 地表移动变形监测 方差分量估计 自适应卡尔曼滤波 精度分析 |
Adaptive CORS RTK Single Base Station to Improve the Measurement Accuracy of the Kalman Filter |
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| Affiliation: | School of Geodesy and Geomatics,Anhui University of Science and Technology,Huainan 232001,China |
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| Abstract: | For the single base station CORS RTK has low measurement accuracy in surface deformation monitoring of mining subsidence, an adaptive Kalman filter algorithm based on variance estimation principle is constructed. Correspondence CORS RTK is used to collect the plane coordinates and normal height of each epoch. Based on the actual CORS RTK measured data and comparative analysis?results of the fourth-class level measurement, the CORS RTK measurement accuracy after filtering has been greatly improved, which meets the accuracy requirements for surface movement deformation monitoring of mining subsidence. |
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