地矿测绘
地礦測繪
지광측회
Surveying and Mapping of Geology and Mineral Resources
2015年
3期
7-10
,共4页
隧道变形监测%抗差Kalman滤波%自适应因子%稳健估计
隧道變形鑑測%抗差Kalman濾波%自適應因子%穩健估計
수도변형감측%항차Kalman려파%자괄응인자%은건고계
deformation monitoring of tunnel%robust Kalman filtering%adaptive factor%robust estimation
标准的Kalman滤波模型，要求系统噪声统计特性满足零均值白噪声等条件，但在实际工程应用中，一般会因复杂环境而难以满足要求。为此，以实际铁路隧道沉降监测为背景，对基于自适应因子的抗差 Kalman 滤波和基于稳健估计的抗差 Kalman 滤波的应用进行了比较研究。结果表明，两种抗差滤波算法均能抵御粗差影响，但前者应用效果更佳。
標準的Kalman濾波模型，要求繫統譟聲統計特性滿足零均值白譟聲等條件，但在實際工程應用中，一般會因複雜環境而難以滿足要求。為此，以實際鐵路隧道沉降鑑測為揹景，對基于自適應因子的抗差 Kalman 濾波和基于穩健估計的抗差 Kalman 濾波的應用進行瞭比較研究。結果錶明，兩種抗差濾波算法均能牴禦粗差影響，但前者應用效果更佳。
표준적Kalman려파모형，요구계통조성통계특성만족령균치백조성등조건，단재실제공정응용중，일반회인복잡배경이난이만족요구。위차，이실제철로수도침강감측위배경，대기우자괄응인자적항차 Kalman 려파화기우은건고계적항차 Kalman 려파적응용진행료비교연구。결과표명，량충항차려파산법균능저어조차영향，단전자응용효과경가。
Standard Kalman filtering model requires the statistical properties of system noise to meet the following conditions such as the zero mean as well as white noise,but in the practical engineering application,due to the complex enviroment,it is difficult to meet the requirements.Based on the background of actual railway tunnel subsidence monito-ring,a comparative study on application of two different robust Kalman filtering algorithms based on adaptive factor and based on the robust estimation was made.The results show that,both robust Kalman filtering algorithms are able to elimi-nate the gross errors,but the robust Kalman filtering based on adaptive factor has a good practical effect.
