Separation Risk Evaluation Considering Positioning Uncertainties from the Automatic Dependent Surveillance-Broadcast (ADS-B) System

Peng Zhao, Yongming Liu

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

A probabilistic methodology for separation loss probability assessments is proposed in this paper. The key focus is on the effect of uncertainties from multiple Automatic Dependent Surveillance-Broadcast (ADS-B) systems on the separation loss probability assessment. First, a brief review of the ADS-B system and its associated uncertainty quantification metrics is discussed. It is found that most existing studies focus on the individual ADS-B uncertainty quantification for a single aircraft, which is not sufficient for separation loss probability assessment when two or more aircraft are involved. Next, a probabilistic positioning model with multiple aircraft is proposed and various types of uncertainties are included in the proposed model. Numerical simulations show that a navigation satellite fault can significantly affect separation error when individual aircraft see different satellite sets. Following this, several demonstration examples are illustrated to show the bounds for separation loss probability estimation. Finally, several conclusions and suggestions are discussed based on this study. One major finding is that the separation risk significantly increases when two nearby aircraft use different satellite sets to navigate. Real-time assessment of this risk should be performed.

Original languageEnglish (US)
Pages (from-to)1179-1199
Number of pages21
JournalJournal of Navigation
Volume72
Issue number5
DOIs
StatePublished - Sep 1 2019

Keywords

  • ADS-B
  • Navigation
  • Separation loss
  • Uncertainty quantification

ASJC Scopus subject areas

  • Oceanography
  • Ocean Engineering

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