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- W2377546559 abstract "In the process of initial alignment for an inertial navigation system (SINS) on a stationary base via Kalman filter, some states have no filtering effect as the system is not completely observable. Moreover, the accuracy of the states which have filtering effect are limited to some extend for the poor observability. In this paper, the observability for the initial alignment equations of SINS on a stationary base is analyzed, and the reduced - order Kalman filter is established with each state estimating accuracy limitation proposed. Simulation results show that the reduced - order Kalman filter has the some accuracy as the traditional full - order estamation method, but the former has less calculating consumption and is not sensitive to the bad effect of the unobservable states." @default.
- W2377546559 created "2016-06-24" @default.
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- W2377546559 date "2006-01-01" @default.
- W2377546559 modified "2023-09-23" @default.
- W2377546559 title "Initial Alignment Accuracy Analysis and Simulation of Strapdown Inertial Navigation System on a Stationary Base" @default.
- W2377546559 hasPublicationYear "2006" @default.
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