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- W2389641992 abstract "When the Kalman filtering method is adopted in initial alignment for a strapdown inertial navigation system (SINS) on a stationary base, the variance of system noise can not be obtained with accuracy, namely there exists some uncertainty. Meanwhile, as some states can not be estimated or have poor estimation, the simplified state equation employed in the alignment process will cause model parameter uncertainty. A multiple-model estimator was used to solve the problem of uncertainty, and the alignment accuracy was improved remarkably. The simulation results show that the multiple-model estimator is effective in initial alignment for SINS on a stationary base." @default.
- W2389641992 created "2016-06-24" @default.
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- W2389641992 date "2005-01-01" @default.
- W2389641992 modified "2023-09-25" @default.
- W2389641992 title "Improvement on Initial Alignment Accuracy of SINS Using a Multiple Model Estimator" @default.
- W2389641992 hasPublicationYear "2005" @default.
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