Pulsar Selection Criteria and Performance Evaluation of Autonomous X-ray Pulsar Navigation Systems
Sui Chen (Politecnico di Milano, ICE-CSIC, IEEC), Emilie Parent (ICE-CSIC, IEEC), Nanda Rea (ICE-CSIC, IEEC), Francesco Topputo (Politecnico di Milano)

TL;DR
This paper analyzes how pulsar selection criteria affect autonomous X-ray pulsar navigation performance, using observational data and simulations to evaluate different pulsar combinations for space missions.
Contribution
It introduces a comprehensive pulsar selection framework considering mission constraints and evaluates navigation performance with realistic noise estimates.
Findings
Including the Crab pulsar achieves sub-7 km accuracy in LEO.
Crab pulsar's limited stability causes filter divergence after 20 days.
Stable pulsars enable long-term navigation but with lower accuracy.
Abstract
Current space missions primarily depend on Earth-based Guidance, Navigation, and Control (GNC) systems involving human-in-the-loop operations. X-ray pulsar-based navigation offers a promising alternative by using the very precise periodic X-ray emissions from pulsars for fully autonomous state estimation. This study presents a comprehensive analysis of pulsar selection criteria that significantly influence overall navigation performance. Observational data from the NICER mission is used to derive realistic estimates of measurement noise. Key mission-level constraints, including pulsed flux, pulsar visibility, geometric configuration, and long-term timing stability, are integrated into the pulsar selection process, addressing limitations of existing studies. An extended Kalman filter (EKF) is used for onboard spacecraft state estimation. The proposed system is evaluated in two scenarios:…
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