OpenXNAV is an Open Source, modular toolkit for simulating high-fidelity pulsar X-ray events.

Introduction to OpenXNAV

OpenXNAV is designed to aid development and testing of Pulsar-based Autonomous Navigation (XNAV) Positioning, Navigation, and Timing (PNT) solutions.

Documentation:
https://jhuapl.github.io/OpenXNAV/

You can read our IEEE paper to learn more:
https://ieeexplore.ieee.org/document/10139942
Note: OpenXNAV was previously named Pulsar-Leveraged Autonomous Navigation Testbed System (PLANTS)

Support

If you have questions, suggestions, or require assistance with OpenXNAV, please email: OpenXNAV@jhuapl.edu

Authors

This work was created by the following contributors, with funding from The Johns Hopkins Applied Physics Lab via the Building Leaders, Accelerating Science & Technology (BLAST) Innovation Program:

Sarah Hasnain
Michael Berkson
Sharon Maguire
Evan Sun
Katie Zaback

Cite This Work

If you use any component of the OpenXNAV library, please include the following attribution statement:

This software derives from OpenXNAV (https://github.com/JHUAPL/OpenXNAV) software developed by The Johns Hopkins University Applied Physics Laboratory.

You can also cite our IEEE paper:

Plain text citation:

Sarah Hasnain, Michael Berkson, Sharon Maguire, Evan Sun and Katie Zaback, "Pulsar-Leveraged Autonomous Navigation Testbed System (PLANTS): A Low-Cost Software-Hardware Hybrid Testbed for Pulsar-based Autonomous Navigation (XNAV) Positioning, Navigation, and Timing (PNT) Solutions," 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), Monterey, CA, USA, 2023, pp. 1286-1292, doi: 10.1109/PLANS53410.2023.10139942.

BibTeX citation:
@INPROCEEDINGS{10139942, author={Hasnain, Sarah and Berkson, Michael and Maguire, Sharon and Sun, Evan and Zaback, Katie}, booktitle={2023 IEEE/ION Position, Location and Navigation Symposium (PLANS)}, title={Pulsar-Leveraged Autonomous Navigation Testbed System (PLANTS): A Low-Cost Software-Hardware Hybrid Testbed for Pulsar-based Autonomous Navigation (XNAV) Positioning, Navigation, and Timing (PNT) Solutions}, year={2023}, volume={}, number={}, pages={1286-1292}, doi={10.1109/PLANS53410.2023.10139942}}

License

© 2023 The Johns Hopkins University Applied Physics Laboratory LLC

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at:

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.