摘要
为了有效地消除石英振梁式重力传感器的测量误差,本文提出根据时间序列分析理论对石英振梁式重力传感器测量误差数据进行建模,根据所建时间序列数学模型来逼近重力传感器测量系统的状态方程,并采用Sage-Husa自适应卡尔曼滤波来消除重力传感器测量误差。理论分析和实验表明:石英振梁式重力传感器的测量误差可以采用AR模型来表征,并且Sage-Husa自适应卡尔曼滤波可有效地消除石英振梁式重力传感器测量误差。
Based on the theory of time series, the measuring error data of vibrating-beam gravitational sensor is analyzed and the time series model of measuring error data is constructed. The state equation of the gravitational sensor is approached by the time series model of measuring error data. And Sage-Husa adaptive kalman filter is used to alleviate the error of gravitational sensor. The experiment results indicate that the error of gravitational sensor can be expressed by AR model, and Sage-Husa adaptive kalman filter can effectively alleviate the errors of the vibrating-beam gravitational sensor.
出处
《测绘科学》
CSCD
北大核心
2008年第6期63-65,共3页
Science of Surveying and Mapping
基金
教育部博士点基金新教师基金(项目编号:20070286067)
国家自然基金项目(编号:40804015)
