VOACAP

VOACAP (Voice of America Coverage Analysis Program)[1] is a radio propagation model that uses empirical data to predict the point-to-point path loss and coverage of a given transceiver if given as inputs: two antennas (configuration and position), solar weather, and time/date. Written in Fortran it was originally designed for Voice of America.

VOACAP HF coverage prediction
VOACAP HF propagation prediction

Some movies on the coverage during daytime can be found here.[2]

Simulating HF propagation conditions

Currently versions based on the original source tree exist for Windows, Linux (voacapl)[3] and OSX.[4] The program core uses text files for I/O and a bunch of wrappers now exist.

Besides commercial visualization tools, there are also Open Source implementations with GUI:

  • VOACAP online using ITS' IONCAP model, available at http://www.voacap.com/prediction.html
  • the PropagationPython Project.[5] aka "Proppy" which is an evolution and alternate to VOACAP using the new ITURHFProp prediction model (formerly REC533) and always in development by James Watson[6]

For immediate results, VOACAP provides a web interface for both the coverage[7] and the prediction.[8]

gollark: If I manually operate ABR via direct bee interface it *should* work.
gollark: I made it inherit from VoiceChannel.
gollark: Okay, excellent.
gollark: ++magic py await bot.fetch_channel(826924583466172453)
gollark: ++magic py await bot.fetch_channel(826924583466172453)

See also

References

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