期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2006
卷号：6
期号：3A
页码：105-109
出版社：International Journal of Computer Science and Network Security
摘要：The two state estimation mechanisms are investigated for the system with a randomly varying bias using only most recent finite measurements. One is the augmented filtering mechanism using the treatment of the bias as part of the system state. The other is the two-stage filtering mechanism using the linear combination of the outputs of a bias-free filter and a bias filter. It is shown that proposed mechanisms has inherent good properties such as time-invariance, deadbeat property, and unbiasedness.
关键词：State estimation, bias estimation, two-stage filtering, Kalman filter, FIR filter.
