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- W2372591714 abstract "To improve the autonomous,passive navigation precision and stability,divergence and measurement noise which varied with environments often occurs in inertial navigation system/geomagnetic navigation system(INS/GNS)integrated navigation system.On the basis of unscented Kalman filter,according to change of the variance and mean value of new information.The noise's covariance in the model is modified online to changes estimating mean square deviation error and filtering gain of Kalman filtering;Through change the scaling factor α of weight in sigma sampling adaptively to solve nonlocal effect in UT transform,to improve the positioning accuracy of the navigation system.Simulation result presents fuzzy adaptive Kalman filter is very efficient for INS/GNS integrated navigation system,overcome the shortcomings of the traditional filtering method,improve the accuary of filtering." @default.
- W2372591714 created "2016-06-24" @default.
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- W2372591714 date "2010-01-01" @default.
- W2372591714 modified "2023-09-24" @default.
- W2372591714 title "The application of fuzzy adaptive Kalman filter in INS/GNS integrated navigation system" @default.
- W2372591714 hasPublicationYear "2010" @default.
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