@inproceedings{9afa6bf5888d465ea08939541062b620,
title = "Adaptive Kalman filter for INS/GPS Integrated Navigation System",
abstract = "Inertial Navigation System (INS) and Global Positioning System (GPS) are commonly integrated to overcomes each system's inadequacies and provide an accurate navigation solution. The integration of INS and GPS is usually achieved using a Kalman filter. The accuracy of INS/GPS deteriorates in condition that a priori information used in Kalman filter does not accord with the actual environmental conditions. To address this problem, an improved Sage-Husa filter is presented. In this method, the measurement noise characteristic is adjusted if and only if filtering abnormality exists, avoiding filter instability and reducing computational burden caused by adjusting noise characteristic too frequently in Sage-Husa filter. Simulations in INS/GPS integrated navigation showed improvement in positioning accuracy.",
keywords = "Adaptive filter, INS/GPS, Integrated navigation system, Sage-Husa",
author = "Xu, \{Tian Lai\}",
year = "2013",
doi = "10.4028/www.scientific.net/AMM.336-338.332",
language = "英语",
isbn = "9783037857519",
series = "Applied Mechanics and Materials",
pages = "332--335",
booktitle = "Industrial Instrumentation and Control Systems II",
note = "2013 2nd International Conference on Measurement, Instrumentation and Automation, ICMIA 2013 ; Conference date: 23-04-2013 Through 24-04-2013",
}