首页> 外文期刊>Acta astronautica >Astrometric and photometric data fusion for inactive space object mass and area estimation
【24h】

Astrometric and photometric data fusion for inactive space object mass and area estimation

机译:占星和光度数据融合,用于非活动空间物体的质量和面积估计

获取原文
获取原文并翻译 | 示例
       

摘要

This paper presents a new method to determine the mass of an inactive space object from the fusion of photometric and astrometric data. Typically, the effect of solar radiation pressure is used to determine area-to-mass ratio for space objects from angles observations. The area-to-mass ratio of a space object can greatly affect its orbital dynamics. As a consequence, angles data are sensitive to this quantity. On the other hand, photometric data is not sensitive to mass but is a strong function of the albedo-area and the rotational dynamics of the space object The albedo-area can be used to determine the amount of energy reflected from solar radiation. Since these two data types are sensitive to albedo-area and area-to-mass, then through fusion of photometric data with angles data it is possible to determine the area and mass of a space object. This work employs an unscented Kalman filter to estimate rotational and translational states, area and mass of an inactive space object. Mass is not observable with only angles data or only photometric data alone, but it is shown in this work that with the two combined data types mass can be recovered. Recovery of space object characteristics and attitude and orbit trajectories with sufficient accuracy is demonstrated in this paper via simulation.
机译:本文提出了一种新的方法,可以通过光度和天文数据的融合来确定非活动空间物体的质量。通常,太阳辐射压力的作用用于根据角度观测结果确定空间物体的面积质量比。空间物体的面积质量比可以极大地影响其轨道动力学。结果,角度数据对此量敏感。另一方面,光度数据对质量不敏感,但是它是反照率区域和空间物体旋转动力学的强大函数。反照率区域可用于确定从太阳辐射反射的能量。由于这两种数据类型对反照率区域和质量比敏感,因此通过将光度数据与角度数据融合,可以确定空间物体的面积和质量。这项工作采用了无味的卡尔曼滤波器来估计旋转和平移状态,非活动空间物体的面积和质量。仅使用角度数据或仅使用光度学数据就无法观察到质量,但这项工作表明,使用两种组合数据类型可以恢复质量。通过仿真证明了空间物体特征,姿态和轨道轨迹的恢复具有足够的精度。

著录项

  • 来源
    《Acta astronautica》 |2014年第junaajula期|1-15|共15页
  • 作者单位

    University at Buffalo, State University of New York, Amherst, NY 14260-4400, United States;

    Air Force Research Laboratory, Kirtland AFB, NM 87117, United States;

    University at Buffalo, State University of New York, Amherst, NY 14260-4400, United States;

    Air Force Research Laboratory, Kirtland AFB, NM 87117, United States;

    The Boeing Company, Colorado Springs, CO 80919, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Mass estimation; Orbit determination; Unscented Kalman filter;

    机译:质量估计;轨道确定;无味卡尔曼滤波器;
  • 入库时间 2022-08-18 02:31:57

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