Monitoring measurement noise variance for high integrity applications

Samer Khanafseh, Steven Langel, Fang Cheng Chan, Mathieu Joerger, Boris Pervan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper, a methodology is developed to ensure the integrity of navigation systems given that the measurement noise characteristics might change under different environments. For demanding aviation applications such as autonomous shipboard landing or autonomous airborne refueling, accuracy and integrity of carrier phase positioning and cycle resolution are essential. Integrity risk is computed from the estimate error covariance matrix, which is ultimately derived from the measurement noise covariance matrix. Therefore, any changes in the noise characteristics must be properly accounted for in the integrity risk computation. In this work, a monitor that detects sudden increases in the noise variance is proposed along with an explicit quantification of its effect on integrity risk.

Original languageEnglish (US)
Title of host publicationInstitute of Navigation International Technical Meeting 2012, ITM 2012
Pages1157-1163
Number of pages7
StatePublished - Jul 27 2012
Externally publishedYes
EventInstitute of Navigation International Technical Meeting 2012, ITM 2012 - Newport Beach, CA, United States
Duration: Jan 30 2012Feb 1 2012

Publication series

NameInstitute of Navigation International Technical Meeting 2012, ITM 2012
Volume2

Conference

ConferenceInstitute of Navigation International Technical Meeting 2012, ITM 2012
CountryUnited States
CityNewport Beach, CA
Period1/30/122/1/12

ASJC Scopus subject areas

  • Engineering (miscellaneous)

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  • Cite this

    Khanafseh, S., Langel, S., Chan, F. C., Joerger, M., & Pervan, B. (2012). Monitoring measurement noise variance for high integrity applications. In Institute of Navigation International Technical Meeting 2012, ITM 2012 (pp. 1157-1163). (Institute of Navigation International Technical Meeting 2012, ITM 2012; Vol. 2).