Application of total least squares method in error model identification of inertial navigation platform

被引：0
|
作者：
Liu, Ming [1 ]
Liu, Yu [1 ]
Su, Baoku [1 ]
Jiang, Xiaoxiong [1 ]
机构：
[1] Space Control and Inertial Technology Research Center, Harbin Institute of Technology, Harbin 150001, China
来源：
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | 2007年 / 28卷 / SUPPL. 5期
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摘要：
Because the real input acceleration can not be obtained during the error model identification of the inertial navigation platform, so the measurement value is used to substitute the input data. Then both of the input and output data contain noises. If the traditional least squares method is used to do the work of error model identification of inertial navigation platform, the result will be a biased result. The total least squares method is one of the effective methods to deal with the problem that both of the input and output data contain noises. So the total least squares method is proposed to identify the error model of inertial navigation platform. Firstly, models of inertial navigation platform error and observation error are proposed, and the total least squares method is introduced. Both the least squares method and the total least squares method are used to do the simulation research work. The simulation results show that when both of the input and output data contain noises, the efficiency of the total least squares method is better than the least squares method.
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页码：135 / 138
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