The invention provides an
ionosphere parameter and short
wave frequency band prediction method and
electronic equipment, and the method comprises the steps: obtaining the
ionosphere parameter data in a corresponding IRI model above the midpoint of a
great circle through obtaining the geographic coordinates of two places of a
communication link and the midpoint of the
great circle, obtaining the geomagnetic solar activity data of an open-
source data website, and obtaining the geomagnetic solar activity data of the open-
source data website; the method comprises the following steps: carrying out
ionosphere oblique detection by using ionosphere detectors at two communication places, obtaining an ionosphere oblique detection
ionogram, obtaining
frequency band data available for short-wave communication from the oblique detection
ionogram, carrying out data preprocessing, selecting different tasks, setting corresponding Transform-LSTM model hyper-parameters, carrying out model training, and storing optimal
model parameters; and performing an ionosphere parameter prediction task or a short-wave communication available
frequency band prediction task by using the corresponding model. The ionosphere detection data, the environment
monitoring data and the like are fused in the
deep learning field and the short-wave communication field, and the method has important significance and application prospects.