Deep learning-based northern hemisphere high latitude region ROTI prediction method

Abstract

The invention discloses a deep learning-based northern hemisphere high latitude region ROTI prediction method, which can achieve real-time prediction of ionospheric scintillation by predicting the value of ROTI several minutes later by using an artificial intelligence method. The method comprises the following steps: collecting and obtaining related parameter data influencing ionospheric scintillation in a high-latitude area, wherein the related parameter data comprise ROTI indexes; dividing all data into a training set, a verification set and a test set; preprocessing the data in the trainingset, the verification set and the test set to obtain normalized data; and aiming at the combination of the normalized data of the current moment t and the previous set quantity moment, setting the set label as the ROTI index of the future moment, and obtaining the mapping relationship; and constructing a recurrent neural network model, performing training by using the training set, and performingverification by using the verification set; returning the loss functions of the training set and the verification set in each iteration, and ending the training when the loss function of the verification set reaches the minimum, so as to obtain a trained recurrent neural network model, i.e., the ROTI prediction model.

Description

technical field [0001] The present invention relates to the field of space ionosphere technology, in particular to a method for predicting ROTI in high latitude regions of the northern hemisphere based on deep learning. Background technique [0002] The existence of the ionosphere and its electron density inhomogeneity makes the amplitude, phase, angle of arrival and polarization state of the radio waves passing through it fluctuate rapidly, which is ionosphere scintillation. Ionospheric scintillation often causes deep fading and distortion of radio signals received by ground receivers. For example, amplitude flicker will cause signal fading, which can reach more than 20dB at most. When the fading amplitude exceeds the redundancy and dynamic range of the receiving system, it will cause satellite communication obstacles and increase the bit error rate; phase scintillation will cause Doppler frequency shift. Due to the influence of the irregular structure of the ionosphere, ...

AI Technical Summary

Problems solved by technology

When the fading amplitude exceeds the redundancy and dynamic range of the receiving system, it will cause satellite communication obstacles and increase the bit error rate; phase scintillation will cause Doppler frequency shift

Due to the influence of the irregular structure of the ionosphere, the refraction index of radio waves also fluctuates randomly, which changes the signal path, causes multipath effects and reduces the accuracy of satellite navigation.

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