摘要
基于Kalman滤波的动态定位中,动态观测量可能存在粗差,若数据处理不考虑对这些粗差的特别处理,则所提供的动态信息将极不可靠。文中计算了粗差对滤波结果的影响,并由此建立了动态定位中粗差的探测和修复算法。最后以一数字仿真(模拟)实验论证了方法的可行性。
For data processing in dynamic position based on Kalman filter,there may be gross errors in dynamic observation.If these gross errors are not treated specially during data processing,the information offered in dynamic position will not be reliable.This paper estimates the influence of gross error to the result,and gives an algorithm to detect and correct the gross error in observed value for dynamic position.Finally,a digital simulation is given to prove the feasibility of this method.
出处
《测绘科学》
CSCD
北大核心
2006年第5期39-41,共3页
Science of Surveying and Mapping
基金
国家自然科学基金(40574003)
教育部博士点基金(20050533057)
关键词
卡尔曼滤波
动态定位
粗差
Kalman filtering
dynamic position
gross error
