Detection and Diagnosis of Failures in Dynamic Precise Point Positioning Using Interacting Multiple Models

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.