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arXiv · 2211.07322

Bayesian Integrity Monitoring for Cellular Positioning -- A Simplified Case Study

Liqin Ding·Gonzalo Seco-Granados·Hyowon Kim·Russ Whiton·Erik G. Ström·Jonas Sjöberg·Henk Wymeersch
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Abstract

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

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Liqin Ding, Gonzalo Seco-Granados, Hyowon Kim, Russ Whiton, Erik G. Ström, Jonas Sjöberg, Henk Wymeersch. 2022-11-14. Bayesian Integrity Monitoring for Cellular Positioning -- A Simplified Case Study. https://arxiv.org/abs/2211.07322

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