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- W2385424871 abstract "The alignment accuracy of the strap-down inertial navigation system (SINS) of airborne weapon is greatly degraded by the dynamic wing flexure of the aircraft. An adaptive Kalman filter uses innovation sequences based on the maximum likelihood estimated criterion to adapt the system noise covariance matrix and the measurement noise covariance matrix on line,which is used to estimate the misalignment if the model of wing flexure of the aircraft is unknown. From a number of simulations,it is shown that the accuracy of the adaptive Kalman filter is better than the conventional Kalman filter,and the erroneous misalignment models of the wing flexure of aircraft will cause bad estimation results of Kalman filter using attitude match method." @default.
- W2385424871 created "2016-06-24" @default.
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- W2385424871 date "2008-01-01" @default.
- W2385424871 modified "2023-09-26" @default.
- W2385424871 title "Adaptive Kalman Filter of Transfer Alignment with Un-modeled Wing Flexure of Aircraft" @default.
- W2385424871 hasPublicationYear "2008" @default.
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