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- W2357328380 abstract "To improve the position precision of the integrated navigation system,this paper investigates the major factors that affect the errors in the position prediction algorithm forBD-1 Twin-starand INS integrated navigation system.We demonstrate the significance of the controllability through an example,and derive the controllable conditions for Kalman filter based on the integrated navigation system model and the definition of controllability.Next,we introduce the concept of controllability degree for the state of the filter for evaluating the controllability.Finally,simulation is carried out for the controllability and the controllability degree of each state of the BD-1 Twin-star and INS integrated navigation model.The prediction precision of each state is analyzed,and the relevant factors are determined.These conclusions can be applied to the design of the position filter model for theDouble-Starand INS integrated navigation system in raising the position precision." @default.
- W2357328380 created "2016-06-24" @default.
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- W2357328380 date "2011-01-01" @default.
- W2357328380 modified "2023-09-23" @default.
- W2357328380 title "Controllability ofBD-1/INS integrated navigation algorithm" @default.
- W2357328380 hasPublicationYear "2011" @default.
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