A Switch Unscented Kalman Filter for Autonomous Navigation System of DSS Based on Relative Measurements

被引：0

作者：

Zhang, Ai ^{[1
]}

Li, Jing ^{[1
]}

Jia, Lidong ^{[2
]}

Miao, Yuanming ^{[3
]}

机构：

[1] Beijing Inst Space Mech & Elect, Beijing 100094, Peoples R China

[2] Beijing Res Inst Telemetry, Beijing 100076, Peoples R China

[3] Beijing Inst Spacecraft Syst Engn, Beijing 100094, Peoples R China

来源：

PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC) | 2019年

关键词：

distributed satellite system; autonomous navigation; unscented Kalman filter; Observation switching; ORBIT DETERMINATION; SPACECRAFT;

D O I：

10.23919/chicc.2019.8866471

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The autonomous navigation of distributed satellite system (DSS) using only on-board measurements a basic task for various space missions. The main purpose of this paper is to investigate new methods of autonomous navigation algorithm based on relative position measurements. A switch unscented Kalman filter (UKF) is proposed to solve the overstaffing measurement and high cost of large scale DSS. The observation switches according to the current observable degree of each subsystem witch consist of two satellites. Numerical simulations are carried out to compare the performance of switching UKF and traditional UKF. It is demonstrated that the switch UKF can greatly reduce the number of sensors and system cost on the basis of sufficient filtering accuracy.

引用

页码：3904 / 3909

页数：6

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