SpaceTrack-TimeSeries: Time Series Dataset towards Satellite Orbit Analysis

With advancements in aerospace technology and the widespread deployment of low Earth orbit constellations, challenges to astronomical observation and deep space exploration have intensified. The need for accurate orbital data on space targets, as well as the analysis of satellite positioning, constellation configurations, and deep space satellite behavior, has grown more critical. However, there is a significant gap in publicly available, real-world datasets to support research on space target maneuver prediction and anomaly detection. This paper addresses this gap by collecting and organizing representative maneuver data from the Starlink satellites, which includes precise star-tracking predictions and Two-Line Element (TLE) catalog orbital data. This dataset offers a more realistic and multi-dimensional scenario for modeling space target behavior. It provides valuable insights into practical deployment of maneuver detection and anomaly detection approaches.

搜集汇总

背景与挑战

背景概述

SpaceTrack-TimeSeries是一个专注于卫星轨道分析的时间序列数据集，旨在填补公开真实数据集的缺口。它通过收集和整理Starlink卫星的机动数据（包括精确星跟踪预测和两行元素轨道数据），为空间目标行为建模提供多维场景，支持机动检测和异常检测方法的研究。数据集适用于航空航天技术、轨道分析和时间序列建模等领域。