摘要
在分析海道测量定位数据实时处理要求和异常定位数据特点的基础上,提出了异常定位数据的一种实时检测和修复方法。该方法基于Helmert方差分量估计原理和位置预测信息构建自适应因子。实例计算表明,该方法能够在实时检测异常数据的同时有效修复动力学模型偏差,并且其效果优于采用整体预测信息构建自适应因子的检测方法和采用速度不符值构造自适应因子的检测方法。该方法更适用于海道测量中的异常定位数据的实时处理。
On the basis of analyzing the requirement on the positioning data real-time processing and the character of abnomal data in hydrographic survey, a real-time detecting model for abnomal data, which is based on Helmert variance component estimation and the position predictive information, was proposed. The numerical results indicated that this model could not only detect the abnomal positioning data, but also improve the deviation of the dynamics model. The new method was more reliable and valid than other methods in real-time positioning data detection in hydrographic survey.
出处
《测绘科学技术学报》
北大核心
2010年第1期18-22,共5页
Journal of Geomatics Science and Technology
关键词
海道测量
异常定位数据
抗差估计
方差分量估计
位置预测信息
hydrographic survey
abnomal positioning data
robust estimation
variance component estimation
position predictive information
