JOURNAL ARTICLE

Performance Investigation of the Unscented Kalman Filter for Ultra-tightly GPS/INS Integration

Young‐Seok Cho

Year: 2007 Journal:   Journal of Control Automation and Systems Engineering Vol: 13 (8)Pages: 817-823

Abstract

GPS and INS can be integrated in 3 ways of loose, tight, and ultra-tight configuration. This paper investigates the performance of GPS/INS ultra-tightly integrated system when unscented Kalman filter(UKF) is adopted as well as extended Kalman filter(EKF). Covariance analysis is performed using UFK and EKF for tightly coupled and ultra-tightly coupled systems. Various trajectories such as straight, circle, S-shape, spiral are considered for the simulations of covariance analysis.

Keywords:
Extended Kalman filter Kalman filter Global Positioning System GPS/INS Covariance Fast Kalman filter Unscented transform Control theory (sociology) Invariant extended Kalman filter Computer science Covariance intersection Ensemble Kalman filter Assisted GPS Mathematics Artificial intelligence Telecommunications Statistics

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Citation History

Topics

GNSS positioning and interference
Physical Sciences →  Engineering →  Aerospace Engineering
Inertial Sensor and Navigation
Physical Sciences →  Engineering →  Aerospace Engineering
Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence

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