期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：252
期号：3
页码：1-9
DOI：10.1088/1755-1315/252/3/032154
出版社：IOP Publishing
摘要：Outliers in gyro array system can affect the accuracy and even cause the filtering unstable. Simply diagnosing outliers as failures may lead gyro combination to switch frequently. The current methods have bad performance in the non-linear condition and the patch-type outliers. A method of outlier elimination for gyro array is proposed for the questions above. The method constructs parity vectors by singular value decomposition method to solve the detection function values of gyro array. The relationship between the detection function value and the outlier vector is deduced. The detection function value is checked by the Grubbs rule to mark out the outliers. The simulation results show that the method can eliminate outliers in both static and dynamic non-linear situation, and effectively improve the accuracy of that field.
