A Signal Quality Monitoring Based on Least-Squares for Global Navigation Satellite System

Article Preview

Abstract:

Signal Quality Monitoring (SQM) proposes to detect anomalous Global Navigation Satellite System (GNSS) signal distortions primarily through the using the multi-correlator receivers. These receivers employ three or more correlator pairs per channel-each slaved to tracking pairs. Then the measurements from each channel are transformed to form detection metrics. However, previously such some metrics were only simple algebraic combinations of the measurements and did not describe truly the characteristics of the correlation peak. This paper introduced a metric which uses measurements of each channel to fit the quadratic model with least-squares method to monitor the GNSS signal.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

7582-7587

Citation:

Online since:

November 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Specification, U.S. Department of Defense, Global Positioning System standard positioning service performance standard., Washington, DC, October (2001).

Google Scholar

[2] Minimum Operational Performance Standards for GPS Local Area Augmentation System Airborne Equipment., Publication DO-253A, RTCA SC-159, WG-4A, Washington, DC, 28 November (2001).

Google Scholar

[3] C. Edgar, F. Czoper, B. Bapker, A co-operative anomaly resolution on PRN-19., In Proceedings of ION GPS–99 (Nashville, TN), p.2281–2284. Institute. of Navigation, Alexandria, VA, September (1999).

Google Scholar

[4] Col David Goldstein, Global Positioning Systems Wing GPS IIR-20 (SVN-49) Panel Discussion, Savannah: The Institute of Navigation, (2009).

Google Scholar

[5] Mats Brenner, Fan liu, Natural signal deformation observerd in new satellites and their impact on GBAS, Proceedings of ION GNSS-2009, September (2009).

Google Scholar

[6] R. Eric Phelts, Todd Walter, Per Enge, Characterizing nominal ananlog signal deformation on GNSS signals, Proceedings of ION GNSS 2009, Savannah, GA, (2009).

Google Scholar

[7] R. E. Phelts, Multicorrelator techniques for robust mitigation of threats to GPS signal quality, Ph.D. thesis, Stanford University, June 2001, Also published as SUDAAR 743.

Google Scholar

[8] Specification–Performance Type One Local Area Augmentation System (LAAS) Ground Facility, FAA-E-2937A, April 17, (2002).

Google Scholar

[9] Gang Xie, Optimal on-airport monitoring of the integrity of GPS-based landing systems, Ph.D. thesis, Stanford University, (2004).

Google Scholar