Performance comparison of GPS fault detection and isolation via pseudorange prediction model based test statistics

5Citations
Citations of this article
17Readers
Mendeley users who have this article in their library.

Abstract

Fault detection and isolation (FDI) algorithms provide fault monitoring methods in GPS measurement to isolate abnormal signals from the GPS satellites or the acquired signal in receiver. In order to monitor the occurred faults, FDI generates test statistics and decides the case that is beyond a designed threshold as a fault. For such problem of fault detection and isolation, this paper presents and evaluates position domain integrity monitoring methods by formulating various pseudorange prediction methods and investigating the resulting test statistics. In particular, precise measurements like carrier phase and Doppler rate are employed under the assumption of fault free carrier signal. The presented position domain algorithm contains the following process; first a common pseudorange prediction formula is defined with the proposed variations in pseudorange differential update. Next, a threshold computation is proposed with the test statistics distribution considering the elevation angle. Then, by examining the test statistics, fault detection and isolation is done for each satellite channel. To verify the performance, simulations using the presented fault detection methods are done for an ideal and real fault case, respectively.

Cite

CITATION STYLE

APA

Yoo, J., Ahn, J., Lee, Y. J., & Sung, S. (2012). Performance comparison of GPS fault detection and isolation via pseudorange prediction model based test statistics. Journal of Electrical Engineering and Technology, 7(5), 797–806. https://doi.org/10.5370/JEET.2012.7.5.797

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free