Build a map showing paths and abnormalies

[MedadRufus]

The basis of Richard Godfrey approach is: If an aircraft passes through the propagation path between a TX station and RX station, there will be an abnormally in SNR and Signal drift(Hz/second). If this abnormally can be seen at the same time in multiple propagation paths between different tx and rx stations, then the plane is likely in the intersection point between all these paths.

WSPRnet records the location of transmitter and receiver, Timestamp of transmission and SNR and Drift of transmission. This information could be enough to detect obstacles in the paths.

[MedadRufus]

Use a map like this: Source: https://chart-studio.plotly.com/~empet/14813.embed

[MedadRufus]

Use px.line_geo().

Example: https://plotly.com/python/lines-on-maps/

[MedadRufus]

Activate environment with:

$ conda activate wspr_propogation

[MedadRufus]

download wspr data from here: https://www.wsprnet.org/drupal/downloads

[MedadRufus]

SNR between two very most busy links

Drift observered between two very most busy links

There is some periodicity over course of the day. The 2 stations are around 600 km apart. Data shown for a period of 3 days.

I don't see distinct abnormalities. Just a lot of noise in the SNR.

[MedadRufus]

SNR and drift between a transmiter and receiver in America and Europe, 7248 km circle distance.