Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31108
A Study of Adaptive Fault Detection Method for GNSS Applications

Authors: Je Young Lee, Hee Sung Kim, Kwang Ho Choi, Joonhoo Lim, Sebum Chun, Hyung Keun Lee


This study is purposed to develop an efficient fault detection method for Global Navigation Satellite Systems (GNSS) applications based on adaptive noise covariance estimation. Due to the dependence on radio frequency signals, GNSS measurements are dominated by systematic errors in receiver’s operating environment. In the proposed method, the pseudorange and carrier-phase measurement noise covariances are obtained at time propagations and measurement updates in process of Carrier-Smoothed Code (CSC) filtering, respectively. The test statistics for fault detection are generated by the estimated measurement noise covariances. To evaluate the fault detection capability, intentional faults were added to the filed-collected measurements. The experiment result shows that the proposed method is efficient in detecting unhealthy measurements and improves GNSS positioning accuracy against fault occurrences.

Keywords: GNSS, Fault Detection, adaptive estimation, residual

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2187


[1] S. Hewitson, J. Wang, “GNSS receiver autonomous integrity monitoring (RAIM) performance analysis,” GPS Solutions, 10(3), 2006, pp. 155-170.
[2] Y. C. Lee, “A position domain relative RAIM method,” Aerospace and Electronic Systems, IEEE Transactions on, 47(1), 2011, pp. 85-97.
[3] J.Wang, P. B. Ober, “On the availability of fault detection and exclusion in GNSS receiver autonomous integrity monitoring,” Journal of Navigation, 62(02), 2009, pp. 251-261.
[4] M. A. Sturza, “Skewed axis inertial sensor geometry for optimal performance,” In 8th AIAA/IEEE Digital Avionics Systems Conference, Vol. 1, 1988, pp. 128-135.
[5] E. D. Kaplan, and C. J. Hegarty, (Eds.), Understanding GPS: principles and applications. Artech house, 2005.
[6] J. Y. Lee, H. S. Kim, H. K. Lee, “Detection of multiple faults in single-frequency differential GPS measurements,” IET Radar, Sonar & Navigation, 6(8), 2012, pp. 697-707.
[7] R. Hatch, “The synergism of GPS code and carrier measurements,” In International geodetic symposium on satellite doppler positioning, Vol. 1, 1983, pp. 1213-1231.
[8] R. K. Mehra, “On the identification of variances and adaptive Kalman filtering,” Automatic Control, IEEE Transactions on, 15(2), 1970, pp. 175-184.
[9] R. K. Mehra, “On-line identification of linear dynamic systems with applications to Kalman filtering,” Automatic Control, IEEE Transactions on, 16(1), 1971, pp. 12-21.
[10] G. H. Golub, C. Reinsch, “Singular value decomposition and least squares solutions,” Numerische Mathematik, 14(5), 1970, pp. 403-420.