Kalman filter-based RAIM for GNSS receivers

Susmita Bhattacharyya, Demoz Gebre-Egziabher

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

A receiver autonomous integrity monitoring (RAIM) algorithm is presented for extended Kalman filter (EKF)-based global navigation satellite system receivers. To this end, a novel method to bound the EKF mean position error is developed under the assumption of step and ascending ramp fault profiles. The calculated mean position error bound is subsequently used to determine EKF protection levels. Simulation results show that the EKF RAIM algorithm offers performance comparable to that of the traditional weighted least squares RAIM. Although performance gains may not be achieved, the proposed approach lays the foundation for efficient, real-time computation of protection levels for range residual-based RAIM with EKF. Thus, it has important extensions to advanced EKF-based navigation algorithms, such as vector tracking receivers.

Original languageEnglish (US)
Article number7272880
Pages (from-to)2444-2459
Number of pages16
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume51
Issue number3
DOIs
StatePublished - Jul 1 2015

Keywords

  • Clocks
  • Fault detection
  • Global Positioning System
  • Kalman filters
  • Monitoring
  • Receivers
  • Satellites

Fingerprint Dive into the research topics of 'Kalman filter-based RAIM for GNSS receivers'. Together they form a unique fingerprint.

Cite this