Title
A Modified Extended Kalman Filter for a Two-Antenna GPS/INS Vehicular Navigation System.
Abstract
Recently, the integration of an inertial navigation system (INS) and the Global Positioning System (GPS) with a two-antenna GPS receiver has been suggested to improve the stability and accuracy in harsh environments. As is well known, the statistics of state process noise and measurement noise are critical factors to avoid numerical problems and obtain stable and accurate estimates. In this paper, a modified extended Kalman filter (EKF) is proposed by properly adapting the statistics of state process and observation noises through the innovation-based adaptive estimation (IAE) method. The impact of innovation perturbation produced by measurement outliers is found to account for positive feedback and numerical issues. Measurement noise covariance is updated based on a remodification algorithm according to measurement reliability specifications. An experimental field test was performed to demonstrate the robustness of the proposed state estimation method against dynamic model errors and measurement outliers.
Year
DOI
Venue
2018
10.3390/s18113809
SENSORS
Keywords
Field
DocType
two-antenna GPS/INS,navigation system,adaptive noise covariance,measurement outliers,positive feedback,numerical issue
Extended Kalman filter,GPS/INS,Navigation system,Electronic engineering,Engineering
Journal
Volume
Issue
ISSN
18
11.0
1424-8220
Citations 
PageRank 
References 
3
0.57
0
Authors
4
Name
Order
Citations
PageRank
Yushi Hao130.57
Aigong Xu2116.44
Xin Sui334031.49
Yulei Wang430.57