Tightly coupled MEMS based INS/GNSS performance evaluation during extended GNSS outages

被引:5
作者
Rabiain, Azmir Hasnur [1 ]
Kealy, Allison [1 ]
Morelande, Mark [2 ]
机构
[1] Univ Melbourne, Dept Infrastruct Engn, Parkville, Vic 3052, Australia
[2] Univ Melbourne, Dept Elect & Elect Engn, Parkville, Vic, Australia
关键词
inertial navigation; GNSS; tightly coupled integration;
D O I
10.1515/jag-2013-0056
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Ubiquitous positioning using combined lowcost, Micro-electro- mechanical-systems (MEMS) Inertial Navigation Systems (INS) and Global Navigation Satellite System (GNSS) systems remains a challenge in difficult GNSS environments. This is due to the GNSS signals being partially or completely obstructed by building structures and consequently no information being available to calibrate the MEMS INS errors. In these environments although there may be insufficient signals for a two or three dimensional GNSS solution, some signals can still be received, particularly when utilizing high sensitivity GNSS receivers. These signals can be used to aid the INS/GNSS integrated system but can only be realized when it utilizes a tightly coupled (TC) as opposed to a loosely coupled (LC) integration architecture. This is particularly useful for MEMS based INS/GNSS integrated system as its performance can degrade rapidly over short period of GNSS outages. This paper aims to evaluate the capabilities of MEMS based INS/GNSS using TC integration architecture during extended period of GNSS outages. The results obtained show that TC integration architecture does help limit the error growth even when INS/GNSS integrated system experienced relatively long period of partial GNSS outages. commercially available MEMS INSs. Two independent datasets were collected and used to demonstrate the performance of the integrated system architecture (LC vs. TC) during periods of complete and partial GNSS outage. The results of these experiments conducted show that considerable improvements are observed when TC integration architecture is employed compared to LC. The experiment platform, integrated processing architecture and results obtained will be fully presented in this paper.
引用
收藏
页码:291 / 298
页数:8
相关论文
共 50 条
[31]   Tightly Coupled SLAM/GNSS for Land Vehicle Navigation [J].
Cheng, Jiantong ;
Kim, Jonghyuk ;
Jiang, Zhenyu ;
Zhang, Weihua .
CHINA SATELLITE NAVIGATION CONFERENCE (CSNC) 2014 PROCEEDINGS, VOL III, 2014, 305 :721-733
[32]   Ultra-Tightly Coupling of GNSS and INS for High Dynamic Navigation [J].
Hu Rui ;
Shi Chuang ;
Yang Yunchun ;
Zhang Hongping ;
We Xiaozhong .
CPGPS 2009: GLOBAL NAVIGATION SATELLITE SYSTEM: TECHNOLOGY INNOVATION AND APPLICATION, PROCEEDINGS, 2009, :326-+
[33]   Performance of a MEMS IMU Deeply Coupled with a GNSS Receiver under Jamming [J].
Kirkko-Jaakkola, Martti ;
Ruotsalainen, Laura ;
Bhuiyan, Mohammad Zahidul Hasan ;
Soderholm, Stefan ;
Thombre, Sarang ;
Kuusniemi, Heidi .
2014 UBIQUITOUS POSITIONING INDOOR NAVIGATION AND LOCATION BASED SERVICE (UPINLBS), 2014, :64-70
[34]   CTGANN: Channel-Mixed and Temporal Gated Attention Neural Network for GNSS/INS Compensation by Predicting Pseudo-Velocity During GNSS Outages [J].
Zhang, Han ;
Liu, Zhen ;
Wang, Qianxin ;
Li, Zengke ;
Wu, Xu .
IEEE SENSORS JOURNAL, 2025, 25 (10) :17931-17941
[35]   Accurate and Rapidly-Convergent GNSS/INS/LiDAR Tightly-Coupled Integration via Invariant EKF Based on Two-Frame Group [J].
Xia, Chunxi ;
Li, Xingxing ;
He, Feiyang ;
Li, Shengyu ;
Zhou, Yuxuan .
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2025, 22 :7992-8005
[36]   A Novel Factor Graph Framework for Tightly Coupled GNSS/INS Integration With Carrier-Phase Ambiguity Resolution [J].
Shen, Zhiheng ;
Li, Xingxing ;
Wang, Xuanbin ;
Wu, Zongzhou ;
Li, Xin ;
Zhou, Yuxuan ;
Li, Shengyu .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (10) :13091-13105
[37]   A Failure-Resistant, Lightweight, and Tightly Coupled GNSS/INS/Vision Vehicle Integration for Complex Urban Environments [J].
Wu, Zongzhou ;
Li, Xingxing ;
Shen, Zhiheng ;
Xu, Zhili ;
Li, Shengyu ;
Zhou, Yuxuan ;
Li, Xin .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 73 :1-13
[38]   Performance Analysis of Fault Detection and Identification for Multiple Faults in GNSS and GNSS/INS Integration [J].
Alqurashi, Muwaffaq ;
Wang, Jinling .
JOURNAL OF APPLIED GEODESY, 2015, 9 (01) :35-48
[39]   An Adaptive Low-Cost GNSS/MEMS-IMU Tightly-Coupled Integration System with Aiding Measurement in a GNSS Signal-Challenged Environment [J].
Zhou, Qifan ;
Zhang, Hai ;
Li, You ;
Li, Zheng .
SENSORS, 2015, 15 (09) :23953-23982
[40]   Performance Enhancement of Tightly Coupled GNSS/IMU Integration Based on Factor Graph With Robust TDCP Loop Closure [J].
Bai, Shiyu ;
Lai, Jizhou ;
Lyu, Pin ;
Cen, Yiting ;
Sun, Xin ;
Wang, Bingqing .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (03) :2437-2449