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- W2368060833 abstract "In order to meet the requirement of inertial navigation system( INS) for low cost and high performance and solve problems of high cost and large volume of the traditional single master INS,low cost MEMS inertial sensors are installed in skew redundant configuration. Based on the Kalman filter,a new optimal data fusion approach based on virtual sensors is proposed,thus the dynamic model of measurement system is simplified,the computational effort is reduced,and the measurement accuracy is improved. The distributed navigation system based on skew redundant sensors is designed by installing multiple skew redundant inertial measurement unit( SRIMU) nodes in different parts of the carrier. With analysis on the sensor network architecture,the measurement fusion of the distribution navigation system is designed by using the equivalent model based on virtual sensors. The simulation results verify that the optimal data fusion based on virtual sensors improves the measurement accuracy and that the distributed navigation system provides the high accuracy navigation information and suppresses the impact of carrier's local stochastic perturbation on navigation performance." @default.
- W2368060833 created "2016-06-24" @default.
- W2368060833 creator A5068162462 @default.
- W2368060833 date "2015-01-01" @default.
- W2368060833 modified "2023-09-28" @default.
- W2368060833 title "Research on Distributed Navigation System Based on Skew Redundant Sensors" @default.
- W2368060833 hasPublicationYear "2015" @default.
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