An Abnomal Monitoring Algorithm for Satellite Data Quality of the Beidou System Considering the Correlation of Pseudo-distance Residuals
Aiming at the problem of data abnormality caused by spoofing interference in the Beidou satellite system,a satellite data quality abnomal monitoring system for the Beidou satellite system is designed considering the pseudo-distance residual correlation.The quality of deception interference data of Beidou navigation satellite system(BDS)with varying delay characteristics is monitored to further improve the accuracy of dynamic navigation and positioning.Firstly,a multi-mode GNSS pseudo distance correlation combined positioning algorithm model with iterative characteristics is constructed.Kalman filtering is performed by using the pseudo range and pseudo range rate difference of global navigation satellite system(GNSS)receiver and inertial navigation system(INS).The pseudo-distance and pseudo-distance rate residuals are obtained.The residual sliding variance model is constructed by using the deception interference delay feature.Then,the residual sliding variance(RSV)detection quantity is constructed using the current and historical residual data.Finally,the pseudo-range rate and pseudo-range are iteratively updated to realize the deception detection relative to the threshold value.The experimental results show that the error rate of the system is about 3%,and the accuracy is improved by about 60%.
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