Next Article in Journal
Deformation Monitoring for Chinese Traditional Timber Buildings Using Fiber Bragg Grating Sensors
Next Article in Special Issue
A New Method of High-Precision Positioning for an Indoor Pseudolite without Using the Known Point Initialization
Previous Article in Journal
Estimation of Tri-Axial Walking Ground Reaction Forces of Left and Right Foot from Total Forces in Real-Life Environments
Previous Article in Special Issue
Real-Time Monitoring for BDS Signal-In-Space Anomalies Using Ground Observation Data
Article Menu
Issue 6 (June) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(6), 1967; https://doi.org/10.3390/s18061967

GNSS Code Multipath Mitigation by Cascading Measurement Monitoring Techniques

Position, Location and Navigation (PLAN) Group, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
*
Author to whom correspondence should be addressed.
Received: 9 May 2018 / Revised: 14 June 2018 / Accepted: 14 June 2018 / Published: 19 June 2018
(This article belongs to the Special Issue GNSS and Fusion with Other Sensors)
Full-Text   |   PDF [7453 KB, uploaded 22 June 2018]   |  

Abstract

Various measurement monitoring techniques are investigated to mitigate the effect of global navigation satellite systems (GNSS) code multipath through error correction, stochastic weighting of measurements and detection and exclusion (or de-weighting) of affected measurements. Following a comprehensive review of each approach, the paper focuses on detection/exclusion and detection/de-weighting techniques where several single and dual-frequency monitoring metrics are employed in a combination with time-averaging and the M of N detection strategy. A new Geometry-Free (GF) detection metric is proposed given its capability to be combined with a preceding Code-Minus-Carrier (CMC)-based error correction to reduce the number of excluded or de-weighted measurements and thus preserve the measurement geometry. Three geometry-based algorithms, namely measurement subset testing, consecutive exclusion and iterative change of measurement weights are investigated to address multipath scenarios with multiple simultaneously affected measurements. Experimental results are provided using GPS L1, L2C and L5 data collected in multipath environments for static and kinematic scenarios. For GPS L1, the proposed combined method shows more than 38% improvement over a conventional Carrier-to-Noise-density ratio (C/N0)-based Least-Squares (LS) solution in all but deep urban canyons. Lower performance was observed for L2C and L5 frequencies with a limited number of satellites in view. View Full-Text
Keywords: global navigation satellite systems (GNSS); multipath mitigation; measurement monitoring; multipath error estimation and measurement correction; stochastic model of measurements and weighting approach; multipath detection for excluding or de-weighing affected measurements global navigation satellite systems (GNSS); multipath mitigation; measurement monitoring; multipath error estimation and measurement correction; stochastic model of measurements and weighting approach; multipath detection for excluding or de-weighing affected measurements
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

Share & Cite This Article

MDPI and ACS Style

Pirsiavash, A.; Broumandan, A.; Lachapelle, G.; O’Keefe, K. GNSS Code Multipath Mitigation by Cascading Measurement Monitoring Techniques. Sensors 2018, 18, 1967.

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