CUSUM-Based Real-Time Risk Metrics for Augmented GPS and GNSS

S. Pullen, J. Lee, G. Xie, P. Enge

Abstract:	Sigma monitoring is a key component of the real-time integrity verification capability demonstrated by the Stanford University Local Area Augmentation System (LAAS) Ground Facility prototype known as the Integrity Monitor Testbed (IMT). The IMT has both sigma estimation and sigma Cumulative Sum (CUSUM) algorithms to detect small and large sigma violations, respectively. When combined with a prior probability distribution for the sigma parameter being monitored and the use of Bayes' rule, the CUSUM can provide a real-time posterior distribution of sigma based on the current CUSUM state. This paper presents the methodology for this "Bayesian CUSUM" technique and shows how it could be used to enhance integrity monitoring while better preserving continuity and availability.
Published in:	Proceedings of the 16th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS/GNSS 2003) September 9 - 12, 2003 Oregon Convention Center Portland, OR
Pages:	2275 - 2287
Cite this article:	Pullen, S., Lee, J., Xie, G., Enge, P., "CUSUM-Based Real-Time Risk Metrics for Augmented GPS and GNSS," Proceedings of the 16th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS/GNSS 2003), Portland, OR, September 2003, pp. 2275-2287.
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