使用公共TLE数据的分段M/A校准预测大气再入
Predicting Atmospheric Re-entries Using Segmented M/A Calibration of Public TLE Data
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中文总结 AI 辅助
该研究提出用公开TLE数据预测大气再入的方法，基于分段校准有效质量面积比抑制噪声，应用于多种物体再入，能识别最终轨道圈数，再现TIP时间，在仅用公共数据时为再入分析提供稳健替代方案。
中文摘要 AI 辅助
我们提出了一种仅使用公开可用的两行轨道要素（TLE）来预测大气再入的可重复方法。该方法基于有效质量面积比（M/A）的分段校准，在至少12小时的间隔内独立调整以抑制短期目录噪声。较长的段提供稳定的动力学信号，从中可检索有效阻力行为。应用于火箭体、碎片和非机动卫星最近的自然再入，该方法一致地识别出最终轨道圈数，并在末期以约±1小时的精度再现已公布的跟踪和撞击预测（TIP）时间。限制因素是TLE目录的固有噪声和节奏，而非大气或太阳通量建模。在这些限制内，分段M/A校准为仅使用公共数据时的再入分析提供了一种透明、轻量级且操作稳健的替代方案。
英文摘要
We present a reproducible method for predicting atmospheric re-entries using only publicly available Two-Line Elements (TLEs). The approach is based on a segmented calibration of the effective mass-to-area ratio (M/A), adjusted independently over intervals of at least 12 hours to suppress short-period catalogue noise. Longer segments provide a stable dynamical signal from which the effective drag behaviour can be retrieved. Applied to recent natural re-entries of rocket bodies, debris, and non-manoeuvring satellites, the method consistently identifies the final orbital revolution and reproduces published Tracking and Impact Prediction (TIP) times with an accuracy of approximately +/- 1 hour in the terminal phase. The limiting factor is the intrinsic noise and cadence of the TLE catalogue rather than atmospheric or solar-flux modelling. Within these constraints, segmented M/A calibration offers a transparent, lightweight, and operationally robust alternative for re-entry analysis when only public data are available.
