Patent ID: 11914047
Assignee: CACI, INC.—FEDERAL
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 18:
19. A method for predicting TEC in an ionosphere, comprising:
obtaining a dataset;
preprocessing the obtained dataset by cropping and converting images in the dataset to red, green and blue (RGB) arrays;
inputting the dataset into a LSTM-GAN ML model;
training the LSTM-GAN ML model for at least 10 epochs, wherein each epoch includes a cycle of the LSTM-GAN ML model with assigned weights, and wherein the assigned weights are adjusted between successive epochs;
predicting, for a predetermined number of days, the TEC using the LSTM-GAN ML model; and
determining, for geolocating a transmitter, a location of a signal exiting the ionosphere based on the prediction.