Yuan Tian, Xiaodong Hu, Songmao Chen, Yixin Zhao, Xuan Zhang, Dingjie Wang, Weihao Xu, Meilin Xie, Wei Hao, Xiuqin Su
The increasing risk posed by space debris highlights the need for accurate localization techniques. Spaceborne single photon Lidar (SSPL) offers a promising solution, overcoming the limitations of traditional ground-based systems by providing expansive coverage and superior maneuverability without being hindered by weather, time, or geographic constraints. This study introduces a novel approach leveraging non-parametric Bayesian inference and the Dirichlet process mixture model (DPMM) to accurately determine the distance of space debris in low Earth orbit (LEO), where debris exhibits nonlinear, high dynamic motion characteristics...
March 25, 2024: Optics Express