| 强跟踪自适应卡尔曼滤波在高铁沉降监测中的应用 |
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| 引用本文： | 张青华,花向红,李成,程进伟.强跟踪自适应卡尔曼滤波在高铁沉降监测中的应用[J].测绘信息与工程,2011(5):49-51. |
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| 作者姓名： | 张青华 花向红 李成 程进伟 |
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| 作者单位： | 武汉大学测绘学院; |
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| 基金项目： | 国家自然科学基金资助项目(41074025) |
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| 摘 要： | 以高铁沉降监测为应用背景,研究了一种强跟踪自适应卡尔曼滤波算法,并将其与其他几种卡尔曼滤波算法进行仿真对比。结果表明,滤波算法具有较高的精度和较强的跟踪能力。
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| 关 键 词： | Sage-husa自适应滤波 渐消因子 强跟踪自适应卡尔曼滤波 沉降监测 |
Application of Strong Tracking Adaptive Kalman Filter to Subsidence Monitoring of High-speed Railway |
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| ZHANG Qinghua HUA Xianghong LI Cheng CHENG Jinwei.Application of Strong Tracking Adaptive Kalman Filter to Subsidence Monitoring of High-speed Railway[J].Journal of Geomatics,2011(5):49-51. |
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| Authors: | ZHANG Qinghua HUA Xianghong LI Cheng CHENG Jinwei |
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| Institution: | ZHANG Qinghua HUA Xianghong LI Cheng CHENG Jinwei(School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China) |
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| Abstract: | Under the background of subsidence monitoring of High-speed railway,a strong tracking adaptive kalman filtering algorithm is discussed.The simulation results of the algorithm are compared with the simulation results of other kinds of kalman filtering algorithm.The contrast result indicate that this filtering algorithm has high precision and strong tracking capacity. |
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| Keywords: | sage-husa adaptive filter fading factor strong tracking adaptive kalman filter subsidence monitoring |
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