Linear minimum mean squared estimation of measurement bias driven by structured unknown inputs

Lin Zhou, Yan Liang, Jie Zhou, Feng Yang, Quan Pan

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)977-986
Number of pages10
JournalIET Radar, Sonar and Navigation
Volume8
Issue number8
DOIs
StatePublished - 1 Oct 2014

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