Estimation of Distribution Algorithm for Initial Orbit Determination of Too-short-arc Based on Kernel Density Estimation |
| |
| Authors: | Wang Xin Li Xin-ran |
| |
| Institution: | 1. Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210008;2. Key Laboratory of Space Object and Debris Observation, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210008;3. University of Science and Technology of China, Hefei 230026 |
| |
| Abstract: | A new approach of the initial orbit determination for too-short-arc with angular measurements is implemented by building the probabilistic model in the solution space with the estimation of distribution algorithm. Without any assumption about distribution, the non-parametric kernel density estimation is employed in the model building. The method, unlike other evolutionary algorithms, such as the genetic algorithm and particle swarm optimization, considers the fitness as well as the characteristics of the solution space. Numerical experiments with real observations indicate that without any constraints, the proposed technique has a good performance for the observations of usual accuracy. |
| |
| Keywords: | space vehicles celestial mechanics: orbit determination methods: numerical methods: statistical |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
