基于灰色关联法的卫星在轨关键约束影响分析

Analysis of Key Constraints of Satellite Orbits Based on Grey Correlation Method

摘要: 近年来，敏捷光学遥感卫星成为新一代遥感卫星的发展方向。敏捷卫星在轨对地观测成像时具有大量的工作参数与效能指标参数，二者之间存在一定的隐含关系。本文利用卫星在轨应用策略软件对重点目标精细观测场景进行仿真，得到一系列卫星在轨工作参数与效能指标参数。本文选择积分时间、地面采样间隔(GSD)、成像幅宽、成像条带长度、成像条带数五项效能指标作为分析对象，使用灰色关联法对仿真数据进行效能指标与在轨参数之间关联规则的挖掘，挖掘出影响各效能指标的关键因素，并对挖掘结果进行分析，为今后减少或消除对成像效能指标影响较小的约束条件，简化仿真系统的复杂性提供了依据，也为提升敏捷卫星的好用性与易用性奠定了基础。

Abstract: In recent years, agile optical remote sensing satellites have become the development direction of a new generation of remote sensing satellites. Agile satellites have a large number of operating parameters and performance index parameters when they are in-orbit observation. There is a certain implicit relationship between them. In this paper, the satellite in-orbit application strategy software is used to simulate the fine observation scenes of key targets, and a series of satellite on-orbit working parameters and performance index parameters are obtained. In this paper, the integration time, ground sampling distance (GSD), imaging width, imaging strip length, imaging strip number and five performance indicators are selected as the analysis objects, and the gray correlation method is used to correlate the performance index with the on-orbit parameters. The mining of rules, mining the key factors affecting various performance indicators, and analyzing the mining results, provides a basis for reducing or eliminating the constraints on the imaging performance indicators, simplifying the complexity of the simulation system, and improving the ease of use and ease of use of agile satellites laid the foundation.