A New Asymmetric Correlation Kernel for GNSS Multipath Mitigation

Steven Miller; Xue Zhang; Andreas Spanias

doi:10.1109/SSPD.2015.7288498

A New Asymmetric Correlation Kernel for GNSS Multipath Mitigation

Steven Miller, Xue Zhang, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Multipath is the dominant error source in precise positioning Global Navigation Satellite Systems (GNSS) such as the United States Global Positioning System (GPS). These systems utilize the satellite signal time of arrival estimates to solve for position. Multipath corrupts the time of arrival estimates by distorting the signal tracking phase discriminator; which results in a slowly time- varying phase bias. This bias ranges from several centimeters to tens of meters. The submeter bias is the most problematic for centimeter positioning systems. Moreover, in addition to multipath, the GPS spread spectrum code is unbalanced for certain space vehicles which can lead to a code tracking phase bias. A new correlation kernel is proposed as part of a multipath mitigating delay-locked- loop code phase discriminator that does not suffer a tracking bias due to unbalanced spreading codes. This new algorithm performance is compared to existing techniques with respect to position bias and robustness.

Original language	English (US)
Title of host publication	2015 Sensor Signal Processing for Defence, SSPD 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781479974443
DOIs	https://doi.org/10.1109/SSPD.2015.7288498
State	Published - Oct 2 2015
Event	5th Sensor Signal Processing for Defence, SSPD 2015 - Edinburgh, United Kingdom Duration: Sep 9 2015 → Sep 10 2015

Other

Other	5th Sensor Signal Processing for Defence, SSPD 2015
Country	United Kingdom
City	Edinburgh
Period	9/9/15 → 9/10/15

Keywords

correlation
DSSS
GPS
multipath

ASJC Scopus subject areas

Signal Processing
Instrumentation

Access to Document

10.1109/SSPD.2015.7288498

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Cite this

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title = "A New Asymmetric Correlation Kernel for GNSS Multipath Mitigation",

abstract = "Multipath is the dominant error source in precise positioning Global Navigation Satellite Systems (GNSS) such as the United States Global Positioning System (GPS). These systems utilize the satellite signal time of arrival estimates to solve for position. Multipath corrupts the time of arrival estimates by distorting the signal tracking phase discriminator; which results in a slowly time- varying phase bias. This bias ranges from several centimeters to tens of meters. The submeter bias is the most problematic for centimeter positioning systems. Moreover, in addition to multipath, the GPS spread spectrum code is unbalanced for certain space vehicles which can lead to a code tracking phase bias. A new correlation kernel is proposed as part of a multipath mitigating delay-locked- loop code phase discriminator that does not suffer a tracking bias due to unbalanced spreading codes. This new algorithm performance is compared to existing techniques with respect to position bias and robustness.",

keywords = "correlation, DSSS, GPS, multipath",

author = "Steven Miller and Xue Zhang and Andreas Spanias",

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T1 - A New Asymmetric Correlation Kernel for GNSS Multipath Mitigation

AU - Miller, Steven

AU - Zhang, Xue

AU - Spanias, Andreas

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N2 - Multipath is the dominant error source in precise positioning Global Navigation Satellite Systems (GNSS) such as the United States Global Positioning System (GPS). These systems utilize the satellite signal time of arrival estimates to solve for position. Multipath corrupts the time of arrival estimates by distorting the signal tracking phase discriminator; which results in a slowly time- varying phase bias. This bias ranges from several centimeters to tens of meters. The submeter bias is the most problematic for centimeter positioning systems. Moreover, in addition to multipath, the GPS spread spectrum code is unbalanced for certain space vehicles which can lead to a code tracking phase bias. A new correlation kernel is proposed as part of a multipath mitigating delay-locked- loop code phase discriminator that does not suffer a tracking bias due to unbalanced spreading codes. This new algorithm performance is compared to existing techniques with respect to position bias and robustness.

AB - Multipath is the dominant error source in precise positioning Global Navigation Satellite Systems (GNSS) such as the United States Global Positioning System (GPS). These systems utilize the satellite signal time of arrival estimates to solve for position. Multipath corrupts the time of arrival estimates by distorting the signal tracking phase discriminator; which results in a slowly time- varying phase bias. This bias ranges from several centimeters to tens of meters. The submeter bias is the most problematic for centimeter positioning systems. Moreover, in addition to multipath, the GPS spread spectrum code is unbalanced for certain space vehicles which can lead to a code tracking phase bias. A new correlation kernel is proposed as part of a multipath mitigating delay-locked- loop code phase discriminator that does not suffer a tracking bias due to unbalanced spreading codes. This new algorithm performance is compared to existing techniques with respect to position bias and robustness.

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