Abstract
This paper discusses the observability analysis, the estimation algorithm, the numerical simulation, and the experimental verification of a pulsar-based positioning system. This positioning system relies on the unscented Kalman filter and several open source pulsar timing software libraries to estimate the observatory position in an Earth-fixed coordinate system. Monte Carlo analysis was used to numerically verify the filter implementation. Pulsar time-of-arrival data obtained from L-band measurements were used for the experimental verification. The result of this research indicates that a root-sum-square positioning accuracy of can be achieved after processing 3.5 h of archival data.
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