Quick calculation method of satellite access forecast

Abstract

The invention discloses a quick calculation method of a satellite access forecast. The quick calculation method comprises the following steps: (1) applying a Lagrange polynomial interpolation method, adopting Chebyshev nodes, i.e. adopting the points of unequal spaces to carry out interpolation on an orbit forecast result of the satellite in one day, and calculating the satellite orbit through the satellite according to the Lagrange polynomial; and (2) adopting a method that the point of intersection of a curve descending branch of an angle of pitch and a coordinate axis is firstly found and a time window is then judged, searching the point of intersection of the curve descending branch of the angle of pitch and the coordinate axis through a large step size, and adopting a variable step size to search and calculate a visible time window. The method aims at an autonomous mission planning platform carried by a satellite in the future and is suitable for a satellite platform with low dominant frequency and small memory. A Lagrange difference value way is adopted to realize on-board quick orbit calculation, a quick calculation method, combining variable-step size searching and linear fitting, for the visible time window of the satellite to the target is designed, and an efficient quick calculation method of the satellite access forecast is provided.

Description

technical field [0001] The invention relates to the field of satellite access forecasting, in particular to a fast calculation method for satellite access forecasting, which is suitable for satellites on platforms with low main frequency and small memory. Background technique [0002] The purpose of the calculation task of the mission planning platform on the star is the same as that of the ground platform, but it is different from the high-performance computer or cluster computing that the ground mission planning platform can use, and is restricted by the energy system, thermal control system and processor performance of the star. Compared with the computer used on the ground, the memory and processor frequency of the mission planning platform on the star are far different. The mission planning process includes many complex iterative calculation and solution processes, among which access to forecasting requires the most computing resources, so the same calculation process t...

AI Technical Summary

Problems solved by technology

[0010] It can be seen that another reason for the extremely slow calculation of the time window is that the efficiency of the search algorithm is extremely low. In the process of searching the time window with a fixed step size of Δt, if the selected Δt is too small, the number of searches will be large and the search time will be long; if the selected Δt If it is too large, it is easy to miss the window with a shorter time

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