Outlier Eliminating Method of Gyro Array Data in Dynamic and Non-linear Condition

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Du, Binhan^1 ; Shi, Zhiyong^1 ; Song, Jinlong^1

PLA Army Engineering University, Shijiazhuang

050003, China^1

关键词: Array systems;    Detection functions;    Dynamic non-linear;    Non-linear conditions;    Outlier elimination;    Parity vector;    Patch type;    Singular value decomposition method;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/3/032154/pdf
DOI  :  10.1088/1755-1315/252/3/032154

来源: IOP

【 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.