Variable-step-size obscuration forecasting method

Abstract

The invention discloses a variable-step-size obscuration forecasting method. The variable-step-size obscuration forecasting method comprises the steps of: firstly, defining a satellite-target source coordinate system and establishing a conversion matrix corresponding to a WGS-84 coordinate system; then establishing a criterion of obscuration events of a satellite in the satellite-target source coordinate system; if the criterion is satisfied, further judging whether a vector of a connecting line between the satellite and a target source is within an observable range of a satellite obscuration antenna; if so, considering that an obscuration event occurs, and further performing effective forecasting on the obscuration event. The obscuration generation process is converted into a geometrical problem that a fixed-point rotating ray cuts the circumference within the satellite-target source plane by adopting a coordination conversion idea, so that the physic principle of the generation of the obscuration event is revealed substantially; the variable-step-size obscuration forecasting method is a variable-step-size obscuration forecasting algorithm which can efficiently improve the calculation efficiency; through the combination with the installation of the satellite obscuration antenna, the variable-step-size obscuration forecasting method is suitable for the practical project application and is particularly suitable for forecasting the sun or the GPS obscuration event for a long time.

Description

technical field [0001] The present invention relates to a method for occultation prediction, especially a method for occultation prediction with variable step length. The method is based on the idea of ​​coordinate transformation to obtain the criterion of occultation events, and combined with the relevant information of satellite occultation antennas, it is suitable for Long-term forecasts of solar occultation or GPS occultation events. Background technique [0002] At present, the issue of climate change has become the focus of the common development of the world. Air pollution is one of the biggest challenges facing countries all over the world, and governments of all countries attach great importance to it, especially the emission of greenhouse gases. Therefore, the development of atmospheric detection technology will help to further understand the role of human beings in greenhouse gas emissions and global climate change. Global warming endangers the sustainable devel...

AI Technical Summary

Problems solved by technology

[0006] The existing methods for predicting occultation events usually use distance or included angle as the criterion, and predict occultation events (occurrence time and duration, etc.) by adopting a fixed-step o...

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