다중 GPS를 이용한 EKF 기반의 실외 위치 추정 시스템
EKF Based Outdoor Positioning System using Multiple GPS Receivers
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초록
In this paper, a high precision outdoor positioning system is newly proposed using multiple GPS receivers based on the Extended Kalman Filter (EKF). Typically, the GPS signal has the instantaneous errors that degrade the positioning seriously. Using the multiple GPS receivers instead of an expensive DGPS receiver, the positioning reliability and accuracy are improved in this research as a low cost solution. To incorporate the small displacement, an INS data have been tightly coupled to the GPS data, which has the inherit disadvantage of the cumulative error occurring over time. To achieve a stabilized and accurate positioning system, the multiple GPS receiver data are fused with the INS data through the EKF process. Through real navigation experiments of an outdoor mobile robot, the performance of the proposed system has been verified to be accurate comparable to DGPS system with a lower cost.
Abstract
In this paper, a high precision outdoor positioning system is newly proposed using multiple GPS receivers based on the Extended Kalman Filter (EKF). Typically, the GPS signal has the instantaneous errors that degrade the positioning seriously. Using the multiple GPS receivers instead of an expensive DGPS receiver, the positioning reliability and accuracy are improved in this research as a low cost solution. To incorporate the small displacement, an INS data have been tightly coupled to the GPS data, which has the inherit disadvantage of the cumulative error occurring over time. To achieve a stabilized and accurate positioning system, the multiple GPS receiver data are fused with the INS data through the EKF process. Through real navigation experiments of an outdoor mobile robot, the performance of the proposed system has been verified to be accurate comparable to DGPS system with a lower cost.
참고문헌 (11)
- 이정환, "GPS", INS센서 융합을 이용한 고 정밀 위치 추정에 관한 연구, 2012, pp.49(11), 159~166[DOI]
- Sang Heon Oh, "Attitude Determination GPS", INS Integration System Design Using Triple Difference Technique, 2012, pp.7(4), 615~625[DOI]
- Kai-Wei Chiang, "An intelligent navigator for seamless INS", GPS integrated land vehicle navigation applications, 2007, 722~733
- Kazunori Ohno, "Outdoor Navigation of a Mobile Robot between Buildings based on DGPS and Odometry Data Fusion", IEEE International Conference on Robotics & Automation, 2, pp.1978~1984 (2003)
- H. C. Moon, "The Development of Driving Algorithm for an Unmanned Vehicle with Multiple-GPS’s", Robotics and Systems, 14(1) (2008)
- Roozbeh Mottaghi, "Place Recognitionbased Fixed-Lag Smoothing for Environments with Unreliable GPS", IEEE International Conference on Robotics and Automation, pp.1862~1867 (2008)
- J. M. Kim, "An accurate localization for mobile robot using extended Kalman filter and sensor fusion", IEEE International Joint Conference on Neural Networks, pp.2928~2933 (2008)
- Jun Zhou, "Integrated INS", GPS System for an Autonomous Mobile Vehicle, 2007, 694~699
- Dongliang Huang, "Expectation Maximization Based GPS", INS Integration for Land-Vehicle Navigation, 2007, pp.43(3), ~
- 김광진, "INS GPS 강결합 기법에 대한 EKF와 UKF의 성능 비교", 제어.로봇.시스템학회 논문지, 12(8), pp.780~788 (2006), 제어·로봇·시스템학회
- Yunchun Yang, "Magnetometer and Differential Carrier Phase GPS-Aided INS for Advanced Vehicle Control", IEEE Trans. On Robotics and Automation, 19(2) (2003)