relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1732/
title: Designing Kalman filters for integration of inertial navigation system and global positioning system
creator: Tran, Duc Tan
creator: Huynh, Huu Tue
creator: Nguyen, Thang Long
creator: Nguyen, Phu Thuy
creator: Nguyen, Van Chuc
subject: Electronics and Communications
subject: Electronics and Computer Engineering
description: Due to the strong growth of MEMS technology, the Inertial Navigation System (INS) is wi del y applie d to navi gati on and g ui dan ce of aircraft movements. However, there are existing errors in the accelerometer and gyroscope signals that cause unacceptable drifts. To minimize these effect s on the INS syste m, a GPS is u sually employed simultaneously with an INS in order to increase the dimension of the system; the desired parameters are estimated by the Kalman filtering technique applied to the enlarged system. In this paper, we prese nt a st ruct ure con sistin g of a Kal man Filter (KF) of whi ch t he input is the difference between the noisy INS output and the noisy GPS output; the output of KF is finally introduced into the unaided INS system. In this structure, INS errors are compensated by a feedforward and a feedback loop. The overall performance of the system is analyzed by simulation; and results show that this technique substantially improves the quality of the navigation and guidance systems.
date: 2006
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1732/1/paper2_GPS_INS.pdf
identifier:   Tran, Duc Tan and Huynh, Huu Tue and Nguyen, Thang Long and Nguyen, Phu Thuy and Nguyen, Van Chuc  (2006) Designing Kalman filters for integration of inertial navigation system and global positioning system.  In: REV: the 10th biennial Vietnam Conference on Radio & Electronics, November 2006, Hanoi, Vietnam.