A MODIFIED ADAPTIVE KALMAN FILTER FOR FIBER OPTIC GYROSCOPE

被引：0

作者：

Senyurek, Volkan Y. ^{[1
]}

Baspinar, Ulvi ^{[1
]}

Varol, Huseyin S. ^{[1
]}

机构：

[1] Univ Marmara, Dept Elect & Comp, Fac Tech Educ, TR-34722 Istanbul, Turkey

来源：

REVUE ROUMAINE DES SCIENCES TECHNIQUES-SERIE ELECTROTECHNIQUE ET ENERGETIQUE | 2014年 / 59卷 / 02期

关键词：

Fiber optic gyroscope; Adaptive Kalman filter; Allan variance; Noise covariance matrix; Angle random walk (ARW); Rate random walk (RRW); ACCURACY;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this article, an adaptive Kalman filter was designed in order to filter angle' random walk (ARW) and rate random walk (RRW) noises observed in the output of the fiber optic gyroscope (FOG). Especially in case of rapid maneuvers, a new innovation approach, which is based on adaptive mechanism, has been introduced to overcome the shortcomings of conventional and innovation-based adaptive Kalman filters. Process and measurement noise covariances Q and R were estimated successfully and by using these parameters comparisons of conventional and adaptive Kalman filters were made on both real and artificial signals. The results of this study shows that the designed filter reduces ARW, RRW and flicker noises successfully.

引用

页码：153 / 162

页数：10

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