Use of the extended kalman filter for state dependent drift estimation in weakly Nonlinear sensors

被引：2

作者：

Chorti, Arsenia ^{[1
]}

Karatzas, Dimosthenis ^{[1
]}

White, Neil M. ^{[1
]}

Harris, Chris J. ^{[1
]}

机构：

[1] Univ Southampton, Sch Elect & Comp Sci, Elect Syst Design Grp, Southampton SO17 1BJ, Hants, England

来源：

SENSOR LETTERS | 2006年 / 4卷 / 04期

关键词：

EKF-Based drift estimators; Gaussian state variables; sinusoidal state variable;

D O I：

10.1166/sl.2006.051

中图分类号：

O65 [分析化学];

学科分类号：

070302 [分析化学]; 081704 [应用化学];

摘要：

A number of mechanisms are responsible for the generation of reversible or irreversible drift in the response of a sensor. In this letter, we discuss three approaches for the identification of reversible state dependent drift in sensors through the use of the Extended Kalman Filter. We compare their performance by simulation and demonstrate their validity by estimating the drift of an accelerometer, modeled as a weakly nonlinear system.

引用

页码：377 / 379

页数：3