Adaptive unscented Kalman filter in Inertial Navigation System alignment
ICICIP), 2011 2nd International Conference（2011）
摘要
An adaptive unscented Kalman filter is presented, in this algorithm, modified Sage-Husa noise statistics estimator is introduced to estimate the process noise variances adaptively. The nonlinear filter is applied in INS alignment with large azimuth error. Simulation results show that adaptive Unscented Kalman filter performance well in the special case.
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关键词
kalman filters,noise variance,ins alignment,statistical analysis,inertial navigation system alignment,adaptive unscented kalman filter,adaptive filters,nonlinear filter,unscented kalman filter performance,modified sage-husa noise statistics estimator,azimuth error,nonlinear filters,unscented kalman filter,azimuth,simulation,inertial navigation system,kalman filter,estimation,noise,computer model,computational modeling
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