Next Article in Journal
A Deformable Smart Skin for Continuous Sensing Based on Electrical Impedance Tomography
Previous Article in Journal
Methods and Research for Multi-Component Cutting Force Sensing Devices and Approaches in Machining
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(11), 1929; doi:10.3390/s16111929

A Theoretical and Empirical Integrated Method to Select the Optimal Combined Signals for Geometry-Free and Geometry-Based Three-Carrier Ambiguity Resolution

1
International Doctoral Innovation Center, The University of Nottingham Ningbo China, 199 Taikang East Road, Ningbo 315100, China
2
Department of Civil Engineering, The University of Nottingham Ningbo China, 199 Taikang East Road, Ningbo 315100, China
3
Nottingham Geospatial Institute, The University of Nottingham, Triumph Road, Nottingham NG72TU, UK
4
School of Computer Science, The University of Nottingham Ningbo China, 199 Taikang East Road, Ningbo 315100, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 25 August 2016 / Revised: 24 October 2016 / Accepted: 1 November 2016 / Published: 16 November 2016
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [1271 KB, uploaded 16 November 2016]   |  

Abstract

Twelve GPS Block IIF satellites, out of the current constellation, can transmit on three-frequency signals (L1, L2, L5). Taking advantages of these signals, Three-Carrier Ambiguity Resolution (TCAR) is expected to bring much benefit for ambiguity resolution. One of the research areas is to find the optimal combined signals for a better ambiguity resolution in geometry-free (GF) and geometry-based (GB) mode. However, the existing researches select the signals through either pure theoretical analysis or testing with simulated data, which might be biased as the real observation condition could be different from theoretical prediction or simulation. In this paper, we propose a theoretical and empirical integrated method, which first selects the possible optimal combined signals in theory and then refines these signals with real triple-frequency GPS data, observed at eleven baselines of different lengths. An interpolation technique is also adopted in order to show changes of the AR performance with the increase in baseline length. The results show that the AR success rate can be improved by 3% in GF mode and 8% in GB mode at certain intervals of the baseline length. Therefore, the TCAR can perform better by adopting the combined signals proposed in this paper when the baseline meets the length condition. View Full-Text
Keywords: GPS; ambiguity resolution; geometry-free; geometry-based; triple-frequency observations; real data GPS; ambiguity resolution; geometry-free; geometry-based; triple-frequency observations; real data
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

Zhao, D.; Roberts, G.W.; Lau, L.; Hancock, C.M.; Bai, R. A Theoretical and Empirical Integrated Method to Select the Optimal Combined Signals for Geometry-Free and Geometry-Based Three-Carrier Ambiguity Resolution. Sensors 2016, 16, 1929.

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]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top