Automatic acquisition algorithm for near-earth satellite target based on shape feature search

Abstract

The invention provides an automatic acquisition algorithm for a near-earth satellite target based on shape feature search. The automatic acquisition algorithm is characterized in that a directional diagram model of an antenna is built, then a change rate curve of voltage formed by relative movements of a target and the antenna is enabled to act as a curve to be detected, a starting point and an ending point which most conform features of the curve are searched in the directional diagram model of the antenna, and finally relative positions of the target and an electrical shaft of the antenna are determined by using the ending point, so that the antenna is controlled to complete acquisition and tracking for the target. It is proved by a practical verification result that the method can automatically complete acquisition and tracking for the target when the target moves in a sidelobe range, and manual scanning intervention is not required. Meanwhile, the method can also be applied to mainlobe and sidelobe discrimination. The method can effectively improves the search range of the antenna, shorten the acquisition time and improve the automatic success rate.

Description

technical field [0001] The invention belongs to the field of on-orbit spacecraft measurement and control management, and is suitable for intelligent search and capture of dynamic targets. Background technique [0002] Most near-Earth satellites have the characteristics of strong mobility, low orbit height, and fast attenuation. In order to obtain more accurate orbit measurement data, ground monitoring and control stations often use large-aperture antennas, but the increase in antenna aperture means that the main lobe The narrowing of the width, especially when the large dynamic target or when the orbit of the spacecraft loses control becomes unpredictable, the search and acquisition of the target becomes a difficult problem. At this time, the usual way to complete the target capture and tracking is to rely on the operator to manually scan and search the target, which relies more on the operator's experience accumulation, and the operation time is uncertain, and the success i...

AI Technical Summary

Problems solved by technology

[0002] Most near-Earth satellites have the characteristics of strong mobility, low orbit height, and fast attenuation. In order to obtain more accurate orbit measurement data, ground monitoring and control stations often use large-aperture antennas, but the increase in antenna aperture means that the main lobe Narrowing of width, especially when large dynamic targets or when the orbit of the spacecraft out of control becomes unpredictable, the search and acquisition of the target becomes a difficult problem

At this time, the usual way to complete the target capture and tracking is to rely on the operator to manually scan and search the target, which relies more on the operator's experience accumulation, and the operation time is uncertain, and the success is uncertain, which greatly affects the normal measurement and control. The progress of the process

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