Next Article in Journal
Activity Recognition Using Fusion of Low-Cost Sensors on a Smartphone for Mobile Navigation Application
Previous Article in Journal
Non-Linear Piezoelectric Actuator with a Preloaded Cantilever Beam
Article Menu

Export Article

Open AccessArticle
Micromachines 2015, 6(8), 1082-1099; doi:10.3390/mi6081082

Quantitative Analysis to the Impacts of IMU Quality in GPS/INS Deep Integration

GNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Academic Editor: Stefano Mariani
Received: 13 July 2015 / Revised: 5 August 2015 / Accepted: 6 August 2015 / Published: 11 August 2015
View Full-Text   |   Download PDF [937 KB, uploaded 12 August 2015]   |  

Abstract

In the Global Positioning System (GPS)/Inertial Navigation System (INS) deep integration system, the pure negative effect of the INS aiding is mainly the INS navigation error that is independent with the motion dynamics, which determine whether the INS aiding is worthy. This paper quantitatively assesses the negative effects of the inertial aiding information from different grades of INS by modeling the phase-locked loops (PLLs) based on the scalar-based GPS/INS deep integration system under stationary conditions. Results show that the largest maneuver-independent velocity error caused by the error sources of micro-electro-mechanical System (MEMS) inertial measurement unit (IMU) is less than 0.1 m/s, and less than 0.05 m/s for the case of tactical IMU during the typical GPS update interval (i.e., 1 s). The consequent carrier phase tracking error in the typical tracking loop is below 1.2 degrees for MEMS IMU case and 0.8 degrees for the tactical IMU case, which are much less than the receiver inherent errors. Conclusions can be reached that even the low-end MEMS IMU has the ability of aiding the receiver signal tracking. The tactical grade IMU can provide higher quality aiding information and has potential for the open loop tracking of GPS. View Full-Text
Keywords: GPS/INS deep integration; INS-aided PLLs; error propagation; quantitative analysis GPS/INS deep integration; INS-aided PLLs; error propagation; 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

Niu, X.; Ban, Y.; Zhang, Q.; Zhang, T.; Zhang, H.; Liu, J. Quantitative Analysis to the Impacts of IMU Quality in GPS/INS Deep Integration. Micromachines 2015, 6, 1082-1099.

Show more citation formats Show less citations formats

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