传感技术学报2017，Vol.30Issue(8)：1204-1208,5.DOI:10.3969/j.issn.1004-1699.2017.08.013
基于卡尔曼滤波的机场道面接缝积水检测方法研究
Research on the Detection Method of Airport PavementJoint Seeper Based on Kalman Filter
摘要
Abstract
The airport pavement joint seeper can undermine the smoothness of airport pavements and endanger flight safety.Traditional methods of dehumidifying the joints are not only easy to cause coking of cement but also inefficient.Based on the microwave radiation technology,the detection system of airport pavement joint seeper is designed,thus transforming the measurement of moisture content into the measurement of voltage.The least squares method and Kalman filtering algorithm are used to compensate for hardware error respectively.The results show that the mean error rate can be reduced from 0.131 1％to 0.019 4％by using the least squares method,while it can be reduced from 0.131 1％to 0.008 1％by using Kalman filtering algorithm which improves measurement accuracy of moisture content remarkably.关键词
机场道面接缝积水/微波辐射技术/最小二乘法/卡尔曼滤波Key words
airport pavement joint seeper/microwave radiometry/the least square method/Kalman filter分类
信息技术与安全科学引用本文复制引用
孙毅刚,张春乐..基于卡尔曼滤波的机场道面接缝积水检测方法研究[J].传感技术学报,2017,30(8):1204-1208,5.基金项目
中国民用航空局科技项目(20150228) （20150228）
