NDLI: Research on multi-sensor information fusion system application for UAVS with long range and high altitude

Content Provider	IEEE Xplore Digital Library
Author	Yongjun Yu Jianye Liu Zhi Xiong Rongbing Li
Copyright Year	2010
Description	Author affiliation: Navigation Research Center, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Jiangsu, 210016, China (Yongjun Yu; Jianye Liu; Zhi Xiong; Rongbing Li)
Abstract	Multi-sensors combination is an effective means to improve the accuracy and fault tolerance of the navigation system for UAVs with long range and high altitude. Based on analyses of attitude determination using STAR sensor, this paper presents a SINS/STAR/GPS information fusion navigation system. To solve the problem of the incoordinate interval characteristics of multi-sensors, an asynchronous centralized Kalman Filter (AKF) is designed., and the filter period is divided to time update period and measurement update period. An extrapolation method is designed to deal with GPS information. Moreover, a new model is designed to solve the problem of attitude combination in process of vertical mobility. Simulation results indicate that filtering accuracy is improved by 50% with the Kalman Filter, and the method is of important value in engineering application
Starting Page	868
Ending Page	872
File Size	457595
Page Count	5
File Format	PDF
ISBN	9781424450367
ISSN	21533598
DOI	10.1109/PLANS.2010.5507189
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Unmanned aerial vehicles Navigation Global Positioning System Fault tolerant systems Information analysis Position measurement Sensor fusion Sensor phenomena and characterization Sensor systems Silicon compounds asynchronous centralized KF STAR sensor Integrated Navigation Multi-sensors information fusion
Content Type	Text
Resource Type	Article

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