Atmospheric waveguide parameter estimation method based on DNN
An atmospheric waveguide and parameter estimation technology, applied in the field of signal processing, can solve problems such as complex processes and difficult operation of mathematical models
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[0033] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings.
[0034] The invention proposes an atmospheric waveguide parameter method based on a deep learning DNN network. The DNN network is used to extract the attenuation characteristics of signals in the atmospheric waveguide, and the parameter estimation problem is transformed into a DNN network feature extraction problem to find out the radio wave signals at different distances. Mapping relationship between attenuation and atmospheric duct parameters. The propagation model of the X-band signal in the atmospheric duct is established, and the power sampling points at different distances are used as the input, and the atmospheric duct parameter estimation is carried out through the radio wave signal of the sparse frequency point, so as to achieve the continuous frequency atmospheric duct parameter estimation. The present invention does not specifically ...
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