Publication Details
Pulsar Signal Adaptive Surrogate Modeling
Autonomous Navigation, Gaussian Process Regression, Interstellar Navigation,
PRESTO, Pulsar Navigation, Pulsar Observation, Pulsar Timing, Pulsar Timing
Model, Radio Waves, Surrogate Modeling, Synthetic Signal Generator, X-Ray Waves
With an increasing number of spacecraft targeting beyond the Earth's orbit in
recent years, autonomous navigation solutions have gained importance. The
availability of pulsar signals for simulations and HW testing is crucial to
developing pulsar-based navigation. While X-ray is preferred for pulsar
navigation sensors, the options for measuring pulsar signals in X-ray is limited
by existing space observatories. This work proposes a method to build a surrogate
pulsar signal model based on radio pulsar observations. Pulsar selection usable
for the actual radio telescope used is discussed, and a set of observations is
realized. Measured data are processed with PRESTO, and pulsar parameters for the
model are derived. The proposed model expects all pulsar signal parameters to
change in time. The resulting model can be the basis for all known synthetic
pulsar signal generators, allowing for a more realistic resulting signal.
@article{BUT189773,
author="Tomáš {Kašpárek} and Peter {Chudý}",
title="Pulsar Signal Adaptive Surrogate Modeling",
journal="Aerospace",
year="2024",
volume="11",
number="10",
pages="1--22",
doi="10.3390/aerospace11100839",
issn="2226-4310",
url="https://www.mdpi.com/2226-4310/11/10/839"
}