LongwaveModePropagator.jl

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Model the propagation of VLF radio waves in the Earth-ionosphere waveguide.

LongwaveModePropagator is a mode theory propagation model written in the Julia programming language. The model is largely based on the work of K. G. Budden, who developed both a convenient means of calculating an effective reflection coefficient for the anisotropic ionosphere (Budden, 1955) and a general method for calculating the electric field produced by a source dipole in the Earth-ionosphere waveguide (Budden, 1962). It is similar to the Long Wavelength Propagation Capability (LWPC) (Ferguson, 1998), but aims to be more robust and adaptable.

The package is most easily used when interfacing with it from Julia, but it can also run simple cases by reading in JSON files and writing the results back to JSON. See the Examples section of the docs for examples of building scenarios and running the model from within Julia and for generating compatible files from Matlab and Python.

Installation instructions

1. Download and install a recent version of Julia for your operating system.
2. From the Julia REPL, install LongwaveModePropagator.

julia> ] (v1.10) pkg> add LongwaveModePropagator

If you'll be working primarily in Julia, you probably want to cd to your working directory, ] activate a new environment there, and then add LongwaveModePropagator.

Julia has an excellent built-in package manager (accessed by typing ] from the REPL) that also keeps track of the versions of all dependencies within an environment. This means you can leave your code, come back to it two years later on a new computer, and as long as you have the original Project.toml and Manifest.toml files, you can instantiate the exact environment you were last working with. To update the environment (while maintaining compatibility across all dependencies), simply ] up.

As with most Julia packages, LongwaveModePropagator is released under the MIT license and all source code is hosted on GitHub. Please open Issues or Pull requests if you find any problems, are interested in new features, or you would like to be a contributor.

Running your first model

Here's a simple homogeneous ground/ionosphere scenario defined in Julia. Note that throughout the code SI units (MKS) and radians are used. The only notable exception in the current version of the package is the use of kilometers and inverse kilometers to define Wait and Spies h′ and β parameters for the electron density profile.

```julia using LongwaveModePropagator using LongwaveModePropagator: QE, ME

"standard" vertical dipole transmitter at 24 kHz

tx = Transmitter(24e3)

sample vertical electric field every 5 km out to 2000 km from tx

rx = GroundSampler(0:5e3:2000e3, Fields.Ez)

vertical magnetic field

bfield = BField(50e-6, π/2, 0)

daytime ionosphere

electrons = Species(QE, ME, z->waitprofile(z, 75, 0.35), electroncollisionfrequency)

"typical" earth ground

ground = Ground(10, 1e-4)

waveguide = HomogeneousWaveguide(bfield, electrons, ground)

return the complex electric field, amplitude, and phase

E, a, p = propagate(waveguide, tx, rx); ```

We can plot the results if we ] add Plots:

```julia using Plots

plot(rx.distance/1000, a, xlabel="distance (km)", ylabel="amplitude (dB μV/m)", legend=false, lw=2) ```

I encourage you to browse through the Examples section of the docs to see how to construct more complex examples.

New to Julia?

Julia is a relatively new general programming language that particularly shines when it comes to technical computing. It has similarities to Matlab and Python, but is high performance and attempts to solve the "two language problem". In part, it achieves its high performance by compiling functions to efficient native code via LLVM. Julia is dynamically typed and uses multiple dispatch, so that the first time a given function is passed arguments of a certain type, the function is compiled for those types. In practice, this means that the first time a function is called, it appears to take longer than it will on subsequent calls because at the first call the function was also compiled.

Finding help

I highly recommend reading the Julia Documentation. It is very thorough and combines significant text explanations with examples.

Besides the regular REPL prompt julia> and the package mode accessed with ], there is also a help mode accessible with ?. ? works "automatically", even for user-defined functions with docstrings. Most internal functions of LongwaveModePropagator are documented, so e.g. julia ? LongwaveModePropagator.bookerquartic prints an explanation of the bookerquartic function even though it's not exported from the package.

References

K. G. Budden, “The numerical solution of differential equations governing reflexion of long radio waves from the ionosphere,” Proc. R. Soc. Lond. A, vol. 227, no. 1171, pp. 516–537, Feb. 1955, doi: 10.1098/rspa.1955.0027.

K. G. Budden, “The influence of the earth’s magnetic field on radio propagation by wave-guide modes,” Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences, vol. 265, no. 1323, pp. 538–553, Feb. 1962, doi: 10.1098/rspa.1962.0041.

J. A. Ferguson, “Computer programs for assessment of long-wavelength radio communications, version 2.0: User’s guide and source files,” Space and Naval Warfare Systems Center, San Diego, CA, Technical Document 3030, May 1998. Available: http://www.dtic.mil/docs/citations/ADA350375.

F. W. Gasdia, “Imaging the D-Region Ionosphere with Subionospheric VLF Signals,” ProQuest Dissertations Publishing, 2021. Available: https://go.exlibris.link/pGnF7CYf.

Citing

We encourage you to cite the following paper (or see CITATION.bib) if this package is used in scientific work:

F. Gasdia and R. A. Marshall, "A New Longwave Mode Propagator for the Earth–Ionosphere Waveguide," in IEEE Transactions on Antennas and Propagation, vol. 69, no. 12, pp. 8675-8688, Dec. 2021, doi: 10.1109/TAP.2021.3083753.