Next Article in Journal
A Novel Method and Mechanism for Micro-Sphere Singularization
Previous Article in Journal
Design, Characterization and Sensitivity Analysis of a Piezoelectric Ceramic/Metal Composite Transducer
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle
Micromachines 2017, 8(9), 272; doi:10.3390/mi8090272

Modeling and Quantitative Analysis of GNSS/INS Deep Integration Tracking Loops in High Dynamics

1
GNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
Collaborative Innovation Center of Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Received: 18 July 2017 / Revised: 19 August 2017 / Accepted: 5 September 2017 / Published: 8 September 2017
View Full-Text   |   Download PDF [3354 KB, uploaded 11 September 2017]   |  

Abstract

To meet the requirements of global navigation satellite systems (GNSS) precision applications in high dynamics, this paper describes a study on the carrier phase tracking technology of the GNSS/inertial navigation system (INS) deep integration system. The error propagation models of INS-aided carrier tracking loops are modeled in detail in high dynamics. Additionally, quantitative analysis of carrier phase tracking errors caused by INS error sources is carried out under the uniform high dynamic linear acceleration motion of 100 g. Results show that the major INS error sources, affecting the carrier phase tracking accuracy in high dynamics, include initial attitude errors, accelerometer scale factors, gyro noise and gyro g-sensitivity errors. The initial attitude errors are usually combined with the receiver acceleration to impact the tracking loop performance, which can easily cause the failure of carrier phase tracking. The main INS error factors vary with the vehicle motion direction and the relative position of the receiver and the satellites. The analysis results also indicate that the low-cost micro-electro mechanical system (MEMS) inertial measurement units (IMU) has the ability to maintain GNSS carrier phase tracking in high dynamics. View Full-Text
Keywords: global navigation satellite systems (GNSS)/inertial navigation system (INS) deep integration; high dynamics; error propagation model; quantitative analysis global navigation satellite systems (GNSS)/inertial navigation system (INS) deep integration; high dynamics; error propagation model; quantitative analysis
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Ban, Y.; Niu, X.; Zhang, T.; Zhang, Q.; Liu, J. Modeling and Quantitative Analysis of GNSS/INS Deep Integration Tracking Loops in High Dynamics. Micromachines 2017, 8, 272.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Micromachines EISSN 2072-666X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top