Linear minimum mean squared estimation of measurement bias driven by structured unknown inputs
Lin Zhou, Yan Liang, Jie Zhou, Feng Ping Yang, Quan Pan · IET Radar Sonar & Navigation · 2014
In this study, a generalised systematic bias (SB) is presented, which is represented via a dynamic model driven by structured unknown inputs (UI). The online SB estimation is implemented in two steps. In the first step, the state‐free SB measurement and the UI‐free SB dynamic model are derived in the case that UI‐free condition holds. In the second step, the linear minimum mean squared filter is obtained via orthogonal principle, and the sufficient condition of filtering stability is presented. A simulation about target tracking is given to verify the proposed method.