首页> 美国政府科技报告 >Orbit Determination Performance Improvements for High Area-to-Mass Ratio Space Object Tracking Using an Adaptive Gaussian Mixtures Estimation Algorithm
【24h】

Orbit Determination Performance Improvements for High Area-to-Mass Ratio Space Object Tracking Using an Adaptive Gaussian Mixtures Estimation Algorithm

机译:利用自适应高斯混合估计算法进行高面积 - 质量比空间目标跟踪的轨道确定性能改进

获取原文

摘要

Inactive high area-to-mass ratio (HAMR) resident space objects (RSOs) near the geosynchronous orbit (GEO) regime pose a hazard to active GEO RSOs. The combination of solar radiation pressure (SRP) and solar and lunar gravitational perturbations cause variations in the orbit parameters of the inactive RSOs. The high A/m nature of these objects results in greater sensitivity to the SPR reflected in mean motion, inclination and eccentricity. The subsequent drift with respect to Earth-based tracking sites, combined with a temporal orientation agility with respect to the sun, results in an inability to successfully reacquire many of these RSOs as they transition through periods of days to weeks out of view observing sites.

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号