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- W2359355989 abstract "A nonlinear incremental measurement equation under poor observation condition was established,and its linearization method was given.Based on this equation,an extended incremental Kalman filter(EIKF)model under poor observation condition and its recursive calculative steps were proposed.Due to environmental factors and the instability of measurement equipments,the measurement data had unknown system errors in engineering.Classical extended Kalman filter(EKF)method cannot compensate and correct the unknown system errors,which produced considerable filter errors and even led to diverge.The presented EIKF method can successfully eliminate these unknown system errors and effectively improve the accuracy of nonlinear filtering.The method is simple to calculate and easy to apply in engineering." @default.
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- W2359355989 date "2012-01-01" @default.
- W2359355989 modified "2023-10-03" @default.
- W2359355989 title "Extended incremental Kalman filter method under poor observation condition" @default.
- W2359355989 hasPublicationYear "2012" @default.
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