INTELLIGENT NAVIGATION SYSTEM BASED ON BIG DATA TRAFFIC SYSTEM

被引：0
|
作者：
Zhang, Xiu [1 ]
Kang, Jian [1 ]
Yu, Haicun [1 ]
机构：
[1] Tangshan Vocat Tech Coll, Dept Informat Engn, Tangshan 063000, Peoples R China
来源：
SCALABLE COMPUTING-PRACTICE AND EXPERIENCE | 2024年 / 25卷 / 02期
关键词：
Spacecraft; Big data; Hyperspherical distributed sampling point transformation algorithm; Unscented Kalman; filtering; Navigation system; INTEGRITY;
D O I：
10.12694/scpe.v25i2.2654
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper studies the navigation technology of the On-Orbit Servicing Spacecraft (OSS) and proposes an overall solution for the OSS navigation system. The composition of the OSS satellite navigation simulation system and simulation supporting environment are studied. Then a new SSUKF navigation filter is proposed based on the hyper spherical distributed feature sampling point transform algorithm (SSUT) and the non-scanning Kalman filter (UKF). The numerical simulation of the OSS system is studied based on MATLAB/RTW. Finally, the SSUKF algorithm and the conventional UKF algorithm are simulated digitally. The effectiveness and advanced nature of the hybrid Kalman filter applied to spacecraft autonomous navigation are verified.
引用
收藏
页码：1124 / 1133
页数：10
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