On a new weighting matrix to enhance the accuracy of stand-alone GNSS positioning

Jean-Philippe Montillet; Kegen Yu

doi:10.1109/ISCIT.2012.6380845

On a new weighting matrix to enhance the accuracy of stand-alone GNSS positioning

Jean-Philippe Montillet, Kegen Yu

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

Abstract

This paper focuses on location accuracy enhancement and performance comparison for global navigation satellite systems (GNSS) based positioning in light multipath propagation environments. The well-known linear iterative least-squares (LS) estimator algorithm performs the location of a ground (mobile) terminal. A sliding window and subspace decomposition (SD) based approach is proposed to generate coefficients for weighting the pseudorange measurements between the ground receiver and a set of satellites. Simulation results with real pseudorange measurement data (recorded at two different scenarios) demonstrate that the proposed SD-based LS algorithm significantly outperforms the existing LS algorithm, with root mean square error (RMSE) reduced by more than 0.7m.

Original language	English
Title of host publication	2012 International Symposium on Communications and Information Technologies (ISCIT)
Subtitle of host publication	proceedings
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1045-1050
Number of pages	6
ISBN (Electronic)	9781467311571, 9781467311557
ISBN (Print)	9781467311564
DOIs	https://doi.org/10.1109/ISCIT.2012.6380845
Publication status	Published - 2012
Externally published	Yes
Event	2012 International Symposium on Communications and Information Technologies, ISCIT 2012 - Gold Coast, QLD, Australia Duration: 2 Oct 2012 → 5 Oct 2012

Other

Other	2012 International Symposium on Communications and Information Technologies, ISCIT 2012
Country/Territory	Australia
City	Gold Coast, QLD
Period	2/10/12 → 5/10/12

Keywords

GNSS
satellite positioning
subspace decomposition
least-squares

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10.1109/ISCIT.2012.6380845

Cite this

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title = "On a new weighting matrix to enhance the accuracy of stand-alone GNSS positioning",

abstract = "This paper focuses on location accuracy enhancement and performance comparison for global navigation satellite systems (GNSS) based positioning in light multipath propagation environments. The well-known linear iterative least-squares (LS) estimator algorithm performs the location of a ground (mobile) terminal. A sliding window and subspace decomposition (SD) based approach is proposed to generate coefficients for weighting the pseudorange measurements between the ground receiver and a set of satellites. Simulation results with real pseudorange measurement data (recorded at two different scenarios) demonstrate that the proposed SD-based LS algorithm significantly outperforms the existing LS algorithm, with root mean square error (RMSE) reduced by more than 0.7m.",

keywords = "GNSS, satellite positioning, subspace decomposition, least-squares",

author = "Jean-Philippe Montillet and Kegen Yu",

year = "2012",

doi = "10.1109/ISCIT.2012.6380845",

language = "English",

isbn = "9781467311564",

pages = "1045--1050",

booktitle = "2012 International Symposium on Communications and Information Technologies (ISCIT)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2012 International Symposium on Communications and Information Technologies, ISCIT 2012 ; Conference date: 02-10-2012 Through 05-10-2012",

}

Montillet, J-P & Yu, K 2012, On a new weighting matrix to enhance the accuracy of stand-alone GNSS positioning. in 2012 International Symposium on Communications and Information Technologies (ISCIT): proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1045-1050, 2012 International Symposium on Communications and Information Technologies, ISCIT 2012, Gold Coast, QLD, Australia, 2/10/12. https://doi.org/10.1109/ISCIT.2012.6380845

On a new weighting matrix to enhance the accuracy of stand-alone GNSS positioning. / Montillet, Jean-Philippe; Yu, Kegen.
2012 International Symposium on Communications and Information Technologies (ISCIT): proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2012. p. 1045-1050.

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

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T1 - On a new weighting matrix to enhance the accuracy of stand-alone GNSS positioning

AU - Montillet, Jean-Philippe

AU - Yu, Kegen

PY - 2012

Y1 - 2012

N2 - This paper focuses on location accuracy enhancement and performance comparison for global navigation satellite systems (GNSS) based positioning in light multipath propagation environments. The well-known linear iterative least-squares (LS) estimator algorithm performs the location of a ground (mobile) terminal. A sliding window and subspace decomposition (SD) based approach is proposed to generate coefficients for weighting the pseudorange measurements between the ground receiver and a set of satellites. Simulation results with real pseudorange measurement data (recorded at two different scenarios) demonstrate that the proposed SD-based LS algorithm significantly outperforms the existing LS algorithm, with root mean square error (RMSE) reduced by more than 0.7m.

AB - This paper focuses on location accuracy enhancement and performance comparison for global navigation satellite systems (GNSS) based positioning in light multipath propagation environments. The well-known linear iterative least-squares (LS) estimator algorithm performs the location of a ground (mobile) terminal. A sliding window and subspace decomposition (SD) based approach is proposed to generate coefficients for weighting the pseudorange measurements between the ground receiver and a set of satellites. Simulation results with real pseudorange measurement data (recorded at two different scenarios) demonstrate that the proposed SD-based LS algorithm significantly outperforms the existing LS algorithm, with root mean square error (RMSE) reduced by more than 0.7m.

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KW - satellite positioning

KW - subspace decomposition

KW - least-squares

UR - https://www.scopus.com/pages/publications/84872156656

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DO - 10.1109/ISCIT.2012.6380845

M3 - Conference proceeding contribution

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SN - 9781467311564

SP - 1045

EP - 1050

BT - 2012 International Symposium on Communications and Information Technologies (ISCIT)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 2012 International Symposium on Communications and Information Technologies, ISCIT 2012

Y2 - 2 October 2012 through 5 October 2012

ER -

On a new weighting matrix to enhance the accuracy of stand-alone GNSS positioning

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