ARAIM Integrity Support Message parameter validation by online ground monitoring

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

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


In this paper we introduce a ground monitoring architecture to validate the Integrity Support Message (ISM) parameters to be used by aircraft for Advanced Receiver Autonomous Integrity Monitoring (ARAIM). This work focuses on two critical ISM parameters: P sat, which designates the prior probabilities of satellite faults, and b max, which is a range domain bound on small faults that may occur at probabilities higher than P sat. We show that the choices of b max and P sat are not independent. The paper first establishes the relationship between b max, Psat , Time to Integrity Alert (TIA) and constellation service provider performance commitments. We then provide an example ground monitor design that detects inter-frequency bias faults and code-carrier divergence faults. We show that the performance of the monitor can be used to validate specific b max and P sat values for ARAIM.

Original languageEnglish (US)
Pages (from-to)327-337
Number of pages11
JournalJournal of Navigation
Issue number2
StatePublished - Mar 10 2015


  • GNSS
  • Integrity Support Message

ASJC Scopus subject areas

  • Oceanography
  • Ocean Engineering


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