摘要
动态定位数据处理中,判定运动载体何时开始机动,测量数据何时出现粗差是一个困难的问题。为了在实时动态定位中尽可能快地检测出运动载体机动和观测数据何时出现粗差,文中提出了一种对机动和粗差检测的新方法。该检测算法是基于机动和粗差检测延迟最小的准则。通过分析,对不同的显著水平和机动幅度存在一个最优窗口长度。
For data processing in dynamic orientation, it is a difficult problem to determine when maneuver in the movement carrier begins, as well as to measure when gross error starts appearing in data. To detect maneuver in the movement carrier and measure appearance of gross error in dynamic orientation as soon as possible, a new method of detecting maneuver and gross error is introduced. Algorithm of detection is based on the guide llne of least delay time for detection of maneuver and gross error. Through analysis, it is found that there exists an optimal window length for various false alarm probability and maneuver range.
出处
《湖南人文科技学院学报》
2006年第6期1-4,共4页
Journal of Hunan University of Humanities,Science and Technology
基金
国家自然科学基金(40574003)
湖南省自然科学基金(06JJ5131)
湖南省教育科学"十一五"规划课题(06C441)
关键词
卡尔曼滤波
预报残差
可靠性分析
kalman filtering
predicted residual
reliability analysis