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- W2387072307 abstract "Each state of integrated navigation system is strongly nonlinear and coupled with each other under missile-borne high-dynamic environment. Since the traditional extended Kalman filter algorithm ignors the interaction of higher order terms,its linear expansion may teads to its inaccuracy and the decrease in navigation precision. UKF algorithm can effectively avoid bringing a linearization error,but the real-time of the algorithm can be affected by the complex filtering calculation for a large number of particles in high-dimensional integrated navigation system. A simplified unscented Kalman filter( SUKF) algorithm isproposed for the requirement of high real-time and accuracy for the missile-borne integrated navigation system in launch inertial coordinate system. SUKF can be used to directly estimates the state parameters of the navigation system to achieve the real-time and improve the navigation precision without linearization extension in traditional EKF. The simulation results show that SUKF effectively improves the real-time and filtering precision of algorithm,so SUKF is very suitable for the actual engineering system." @default.
- W2387072307 created "2016-06-24" @default.
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- W2387072307 date "2015-01-01" @default.
- W2387072307 modified "2023-09-23" @default.
- W2387072307 title "A Simplified UKF Algorithm for SINS/GPS/CNS Integrated Navigation System in Launch Inertial Coordinate System" @default.
- W2387072307 hasPublicationYear "2015" @default.
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