摘要
提出了一种基于相邻历元模型概率比的交互多模型方法,以提高故障诊断的效率,控制异常数据对定位结果的影响。首先,根据故障可能发生的情况建立交互多模型,以便对故障进行定位;然后,根据相邻历元的故障模型概率比对故障进行诊断,提高故障诊断的正确率;最后,根据抗差估计原理对故障进行处理,控制异常影响,提高动态精密单点定位的精度。以实测动态GPS数据为例,此模型可以提高故障诊断的正确率,控制异常影响,进而提高动态精密单点定位的精度。
Failures often exist in dynamic precise point positioning due to the effects of the environment or GPS receivers,so the precision will degrade quickly.Interacting multiple models（IMM） based on the ratio of the probability of failure models is introduced,in order to improve the efficiency of diagnosis,control the outlier＇s influences on the dynamic precise point positioning.In the new procedure,IMM including all failure models is used for correct detection and diagnosis of failures at first.Failures are detected and diagnosed by comparison with the ratio of the probability of failure models to improve the validity and reduce the skip.Robust theory is used to control the influences of outliers and improve the precision of dynamic precise point positioning.An actual data is employed to test the modified IMM.The results show that the efficiency of detection and diagnosis is improved,outliers are controlled and the accuracy of dynamic precise point positioning is also improved.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2011年第6期644-647,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40774001
40841021)
国家863计划资助项目(2007AA12Z331)
关键词
动态精密单点定位
交互多模型
模型概率
故障诊断
抗差估计
dynamic precise point positioning
interacting multiple models（IMM）
probability of model
detection and diagnosis of failures
robust estimation
