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

页码：1124 / 1133

页数：10

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