Analyzing Meteor Scatter Communications Through Citizen Science and Data Driven Methods

Meteor scatter communication is a radio propagation technique that exploits ionized trails produced by meteoroids as they enter Earth’s atmosphere, enabling brief long-distance radio contacts. As meteors enter the Earth's atmosphere, they produce ionized trails which amateur radio operators utilize to bounce signals off, enabling short bursts of long-distance communication. This research investigates the historical growth, practical impact, and physical principles of the effect meteor scatter has on radio communication. Taking advantage of major meteor scatter events, including the Perseids and Geminids, data was collected during organized Meteor Scatter QSO Parties (MSQP). Amateur radio citizen scientists study ionospheric propagation by making contacts using meteor trails using diverse equipment and the WSJT-X digital communication software. The collected data sets from everyone containing a mixture of meteor scatter signals, aircraft scatter, and other propagations are compiled and submitted to an online public database for approval. To deal with the immense amount of data, a machine learning program was created to filter and classify data as meteor scatter events. This research indicates the usefulness of machine learning to isolate events within large scale data sets while gaining a deeper understanding of utilizing meteor induced ionization and its role in radio propagation.