Observability Analysis and Navigation Algorithm for Distributed Satellites System Using Relative Range Measurements

作     者：SU Qiya HUANG Yi 

作者机构：Beijing Institute of Remote Sensing Equipment Beijing 100854 China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing 100049 China 

出 版 物：《Journal of Systems Science & Complexity》 (系统科学与复杂性学报（英文版）)

年 卷 期：2018年第31卷第5期

页      面：1206-1226页

核心收录：

学科分类：08[工学] 081105[工学-导航、制导与控制] 0811[工学-控制科学与工程] 

基　　金：supported by the National Basic Research Program of China under Grant No.2014CB845303 the National Center for Mathematics and Interdisciplinary Sciences,Chinese Academy of Sciences 

主　　题：Distributed satellites system (DSS) navigation observability quasi-consistent extendedKalman filter (QCEKF) relative range. 

摘      要：The problem of navigation for the distributed satellites system using relative range mea- surements is investigated. Firstly, observability for every participating satellites is analyzed based on the nonlinear Keplerian model containing J2 perturbation and the nonlinear measurements. It is proven that the minimum number of tracking satellites to assure the observability of the distributed satellites system is three. Additionally, the analysis shows that the J2 perturbation and the nonlinearity make little contribution to improve the observability for the navigation. Then, a quasi-consistent extended Kalman filter based navigation algorithm is proposed, which is quasi-consistent and can provide an on- line evaluation of the navigation precision. The simulation illustrates the feasibility and effectiveness of the proposed navigation algorithm for the distributed satellites system.