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Research and Innovation
Published June 1, 2023 | Version v1
Conference paper Open

Bayesian Integrity Monitoring for Cellular Positioning - A Simplified Case Study

Creators

  • 1. ROR icon Chalmers University of Technology
  • 2. Universitat Autonoma de Barcelona
  • 3. ROR icon Volvo (Sweden)

Description

Bayesian receiver autonomous integrity monitoring (RAIM) algorithms are developed for the snapshot cellular positioning problem in a simplified one-dimensional (1D) linear Gaussian setting. They allow for position estimation, multi-fault detection and exclusion, and protection level (PL) computation by the efficient and exact computation of the position posterior probabilities via message passing along a factor graph. Numerical simulations show that the proposed Bayesian RAIM algorithms achieve significant performance improvement over a baseline advanced RAIM algorithm by providing tighter protection levels (PLs) that meet the target intearity risk (TIR) requirements.

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Additional details

Funding

Hi-Drive – Addressing challenges toward the deployment of higher automation 101006664
European Commission