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Numerical Coverage Analysis for Space-Based Space Situational Awareness Applications

机译：天基空间态势感知应用的数值覆盖分析

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摘要

Modern space situational awareness encompasses the detection, tracking, identification, and characterization of resident space objects. As the population density of Earth orbiting objects continues to increase, the goal of maintaining accurate space situational awareness grows ever more challenging. Tracking a population of this magnitude when the objects are sizeable enough for ground-based sensors to monitor is sufficiently challenging on its own. Additional complexities arise when objects below a certain size are considered, in the nano- and picosatellite range, for instance. As miniaturized satellite hardware continues to evolve, the density of objects in this range becomes a concern because, though small, they can still present a threat to orbiting assets. In this case, it is useful to supplement ground-sensor capabilities with orbiting platforms to support situational awareness goals. This study is focused on the application of numerical techniques, leveraging concepts from computer graphics, to develop a coverage model for the planar above-the-horizon coverage case. The model is general in that sensor and target regions may be heterogeneous and of any planar shape. The ensuing time-invariant and time-varying examples demonstrate approaches to numerically address the problem of optimal constellation design for space situational awareness applications.
机译：现代空间态势感知包括对驻留空间物体的检测，跟踪，识别和表征。随着地球轨道物体的人口密度持续增加，保持准确的空间态势感知的目标变得越来越具有挑战性。当物体足够大以供地面传感器监视时，跟踪如此数量的种群本身就具有很大的挑战性。例如，当考虑到一定大小以下的物体（例如在纳米和微卫星范围内）时，还会增加其他复杂性。随着小型卫星硬件的不断发展，此范围内物体的密度成为一个问题，因为它们虽然很小，但仍可能对轨道资产造成威胁。在这种情况下，用轨道平台补充地面传感器功能以支持态势感知目标很有用。这项研究的重点是利用计算机图形学中的概念，利用数值技术为平面超视距覆盖情况开发一个覆盖模型。该模型是通用的，因为传感器和目标区域可以是异质的，并且可以是任何平面形状。随后的时不变和时变示例演示了用于数字解决空间态势感知应用的最佳星座设计问题的方法。

著录项

  • 来源
    《Journal of Spacecraft and Rockets》 |2014年第2期|533-544|共12页
  • 作者

    Andrew T. Takano; Belinda G. Marchand;

  • 作者单位

    University of Texas at Austin, Austin, Texas 78712 Department of Aerospace Engineering and Engineering Mechanics, 210 East 24th Street;

    Decisive Analytics Corporation, Arlington, Virginia 22202 Applied Mathematics and Physics Division, 1400 Crystal Dr., Ste. 1400 Purdue University, West Lafayette, IN 47907;

  • 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
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