This is a repository for the signal enhancement for magnetic navigation (MagNav) challenge problem, which was introduced at JuliaCon 2020. The high-level goal is to use magnetometer (magnetic field) readings recorded from within a cockpit and remove the aircraft magnetic noise to yield a clean magnetic signal. A detailed description of the challenge problem can be found here and additional MagNav literature can be found here.

• Magnetic Navigation Overview
• Challenge Problem Description
• Challenge Problem Datasets

A basic set of Julia starter code files are in the src folder. This code is largely based on work done by Maj Canciani. This code has only been tested using the latest version of Julia. A sample run file is in the runs folder, which includes downloading the flight data via artifact (see Artifacts.toml). Please see the datasheet for high-level information about this dataset. Details of the flight data are described in the readme files within the readmes folder. The flight data can also be directly downloaded from here.

NOTE: The dt field in each HDF5 file is incorrect. The correct value is 0.1.

Please read the full Data Sharing Agreement located here.

By granting You access to Data, the Air Force grants You a limited personal, non-exclusive, non-transferable, non-assignable, and revocable license to copy, modify, publicly display, and use the Data in accordance with this AGREEMENT solely for the purpose of non-profit research, non-profit education, or for government purposes by or on behalf of the U.S. Government. No license is granted for any other purpose, and there are no implied licenses in this Agreement. This Agreement is effective as of the date of approval by Air Force and remains in force for a period of one year from such date, unless terminated earlier or amended in writing. By using Data, You hereby grant an unlimited, irrevocable, world-wide, royalty-free right to the The United States Government to use for any purpose and in any manner whatsoever any feedback from You to the Air Force concerning Your use of Data.

The MagNav team is part of the USAF-MIT Artificial Intelligence Accelerator, a joint collaboration between the United States Air Force, MIT CSAIL, and MIT Lincoln Laboratory. Current team members include:

MIT Julia Lab within MIT CSAIL

• Albert R. Gnadt (AeroAstro Graduate Student)
• Chris V. Rackauckas (Applied Mathematics Instructor)
• Alan S. Edelman (Applied Mathematics Professor)

MIT Lincoln Laboratory

• Jonathan A. Taylor (Group 24)
• Allan B. Wollaber (Group 01)
• Glenn M. Carl (Group 89)

Air Force Institute of Technology

• Aaron P. Nielsen (DiDacTex, LLC)
• Maj Joseph A. Curro
• Maj Aaron J. Canciani (NRO)

Air Force @ MIT

• Capt Kyle A. Palko

If this dataset is used in any citation, please cite the following work:

[DataSet Name] provided by the United States Air Force pursuant to Cooperative Agreement Number FA8750-19-2-1000 - [dates used]
@article{gnadt2020signal,
  title={Signal Enhancement for Magnetic Navigation Challenge Problem},
  author={Gnadt, Albert R and Belarge, Joseph and Canciani, Aaron and Conger, Lauren and Curro, Joseph and Edelman, Alan and Morales, Peter and O'Keeffe, Michael F and Taylor, Jonathan and Rackauckas, Christopher},
  journal={arXiv e-prints},
  pages={arXiv--2007},
  year={2020}
}