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

作　　者：SU Qiya HUANG Yi 

机构地区：[1]Beijing Institute of Remote Sensing Equipment, Beijing 100854, China [2]Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China [3]School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China

出　　处：《Journal of Systems Science & Complexity》2018年第5期1206-1226,共21页系统科学与复杂性学报（英文版）

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

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.

关 键 词：Distributed satellites system （DSS） NAVIGATION OBSERVABILITY quasi-consistent extendedKalman filter （QCEKF） relative range. 

分 类 号：V448.2[航空宇航科学与技术—飞行器设计]