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《Acta Geodaetica et Cartographica Sinica》 2007-04
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Gyroscope Random Drift Model Based on the Higher-order AR Model

WU Fu-mei1,2,YANG Yuan-xi2 (1.Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China;2.Xi'an Research Institute of Surveying and Mapping,Xi'an 710054,China)  
Gyroscope random drift may deteriorate the accuracy of the inertial navigation and GPS/INS integrated navigation.In this paper,periodic function fitting and wavelet transform are applied to degrade the periodic noise respectively.Then the higher-order AR models are introduced for the correlated noise fitting.Finally the two AR models are applied in GPS/INS navigation.The results show that wavelet transform can degrade not only the periodic noise better but the white noise,compared with the periodic function fitting.And the higher-order AR model is more adequate to describe the correlated noise,compared with the first-order GM model.And the results based on the wavelet transform and the higher-order AR model show a major improvement in the precision of navigation.
【Fund】: 国家自然科学基金项目(40274002;40474001)
【CateGory Index】: V241.5
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