Fault detection in sensor information fusion Kalman filter

被引：25

作者：

Okatan, Ali ^{[2
]}

Hajiyev, Chingiz ^{[1
]}

Hajiyeva, Ulviyye ^{[2
]}

机构：

[1] Istanbul Tech Univ, Fac Aeronaut & Astronaut, TR-34469 Istanbul, Turkey

[2] Halic Univ, Fac Engn, Istanbul, Turkey

来源：

AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS | 2009年 / 63卷 / 09期

关键词：

Fault detection; Kalman filters; Parallel algorithms; Sensor fusion; Matrix norm; DYNAMIC-SYSTEMS; EIGENVALUE; DIAGNOSIS; MATRICES;

D O I：

10.1016/j.aeue.2008.06.003

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：

An approach to the test of the sensor information fusion Kalman filter is proposed. It is based on the introduced statistics of mathematical expectation of the spectral norm of a normalized innovation matrix. The approach allows for simultaneous test of the mathematical expectation and the variance of innovation sequence in real time and does not require a priori information on values of the change in its statistical characteristics under faults. Using this approach, fault detection algorithm for the sensor information fusion Kalman filter is developed. (C) 2008 Elsevier GmbH. All rights reserved.

引用

页码：762 / 768

页数：7

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