FY-3D卫星姿轨误差标校及对定位影响研究
Analysis of FY-3D Satellite Attitude and Orbit Accuracy and Its Influence on Geolocation
鲁文强 1胡秀清 2黄勇 3高旭东 4赵兴隆5
作者信息
- 1. 中国科学院上海天文台,上海,200030;国家卫星气象中心,北京,100081;中国科学院大学,北京,100049
- 2. 国家卫星气象中心,北京,100081
- 3. 中国科学院上海天文台,上海,200030;中国科学院大学,北京,100049
- 4. 上海卫星工程研究所,上海,201109
- 5. 中国空间技术研究院,北京,100094
- 折叠
摘要
卫星轨道及姿态误差是影响图像地理定位精度的关键因素,以风云三号D星(Fengyun-3D,FY-3D)中分辨率光谱成像仪(medium resolution spectral imager,MERSI)为例分析了轨道及姿态实测数据,分析结果表明,FY-3D轨道及姿态均存在多种因素导致的误差,为确定该误差来源,利用卫星搭载的全球卫星导航系统掩星探测仪高精度星历对星上姿态数据全链条计算进行分析,确定姿态误差来源于星上算法存在误差,提出订正优化方案并分析其可行性,进而利用订正后的姿态及轨道数据进行图像地理定位.实测结果表明,MERSI的1 km图像地理定位精度在沿轨和跨轨方向均提升了约20％,达到亚像元级,分析结果表明,通过标校姿轨误差以提高定位精度的方法行之有效.
Abstract
Objectives:Satellite orbit and attitude errors are the key factors that affect the accuracy of image geolocation.The Fengyun-3D(FY-3D)satellite medium resolution spectral imager(MERSI)is used as an example to analyze the measured data of orbit and attitude.Methods:In order to determine the source of the error,the calculation of the entire chain of on-board data is analyzed by using high-precision ephemeris of satellite-borne global navigation satellite system occultation sounder(GNOS),and it is determined that the attitude error comes from the error in the on-board algorithm.A revised and optimized scheme is pro-posed and the feasibility is analyzed.Then,the corrected attitude and orbit data are used for image geoloca-tion and actual measurement data analysis.Results:It shows that the geolocation accuracy of MERSI's 1 km image has increased by about 20％in both the along-track and cross-track directions,reaching the sub-pixel level.Conclusions:The analysis show that it is effective to improve the accuracy of image geolo-cation by calibrating the error of attitude and orbit.
关键词
风云三号D星/图像地理定位/全球卫星导航系统掩星探测仪/轨道精度/姿态精度Key words
Fengyun-3D(FY-3D)satellite/image geolocation/global navigation satellite system occulta-tion sounder(GNOS)/orbit accuracy/attitude accuracy引用本文复制引用
基金项目
国家重点研发计划(2018YFB0504900)
国家重点研发计划(2018YFB0504901)
国家自然科学基金(41871249)
国家自然科学基金(41471302)
出版年
2024
NETL
NSTL
万方数据