AI 中文总结
该研究在近两体小行星系统中评估LiAISON导航方法，采用集成UKF的MMAE框架，仅用测距和测距率测量，通过蒙特卡洛分析准确估计了谷神星、灶神星的位置、速度及摄动，验证了LiAISON在这类系统中的有效性。
AI 中文摘要
本文在近两体小行星系统中评估了Linked Autonomous Interplanetary Satellite Orbit Navigation（LiAISON，自主互联星际卫星轨道导航）方法。尽管LiAISON在地月区域等多体环境中的实用性已得到证实，但在存在引力摄动的两体系统中的应用尚未得到充分验证。灶神星（Vesta）和谷神星（Ceres）是测试LiAISON的良好候选天体，因为这两颗小行星具有足够强的摄动以应用LiAISON方法。本研究采用集成了Unscented Kalman Filters（UKF，无迹卡尔曼滤波器）的Multi-Model Adaptive Estimation（MMAE，多模型自适应估计）框架，仅利用测距和测距率测量来估计航天器状态与摄动。蒙特卡洛分析结果表明，所提出的框架能对谷神星和灶神星案例的位置、速度及摄动做出准确且一致的估计。
英文摘要
This paper evaluates the Linked Autonomous Interplanetary Satellite Orbit Navigation (LiAISON) method in near two-body asteroid systems. While LiAISON's usefulness has been proven in multibody environments such as the cislunar region, the application of a two-body system with gravity perturbations has not been sufficiently demonstrated. Vesta and Ceres are good candidates to test LiAISON, because the asteroids have sufficiently strong perturbations to use LiAISON method. The study utilizes a Multi-Model Adaptive Estimation (MMAE) framework integrated with Unscented Kalman Filters (UKF) to estimate the spacecraft states and perturbations using only range and range rate measurements. Results from the Monte Carlo analysis indicate that the proposed framework makes accurate and consistent estimates of position, velocity, and the perturbations for cases of Ceres and Vesta.
Comments20 pages, 13 figures
