Analysis and comparison of robust least squares estimation based on multi-constellation integrated navigation

Wenbo Wang; Guochao Fan; Fei Niu; Chengdong Xu

doi:10.1109/CompComm.2016.7925002

Analysis and comparison of robust least squares estimation based on multi-constellation integrated navigation

Wenbo Wang, Guochao Fan, Fei Niu, Chengdong Xu

School of Aerospace Engineering

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

7 Citations (Scopus)

Abstract

To solve the problem of the least squares estimation does not have the ability to resist the gross errors in global navigation satellite system (GNSS), the theory of robust least squares estimation is introduced, three methods (Huber, IGG, IGGIII) to construct the equivalent weight are expounded and the determination of initial parameter of the equivalent weight is discussed. The results of simulation based on GPS/BDS multi-constellation show that the robust least squares estimation can ensure the accuracy of navigation and positioning effectively, the estimator with IGGIII equivalent weight method presents optimal solutions, furthermore the performance of the robust estimation method based on median parameter estimate is better than the individual robust estimation.

Original language	English
Title of host publication	2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1752-1756
Number of pages	5
ISBN (Electronic)	9781467390262
DOIs	https://doi.org/10.1109/CompComm.2016.7925002
Publication status	Published - 10 May 2017
Event	2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Chengdu, China Duration: 14 Oct 2016 → 17 Oct 2016

Publication series

Name	2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings

Conference

Conference	2nd IEEE International Conference on Computer and Communications, ICCC 2016
Country/Territory	China
City	Chengdu
Period	14/10/16 → 17/10/16

Keywords

Equivalent weight
GNSS
GPS/BDS multi-constellation
Median parameter
Robust least squares estimation

Access to Document

10.1109/CompComm.2016.7925002

Cite this

Wang, W., Fan, G., Niu, F., & Xu, C. (2017). Analysis and comparison of robust least squares estimation based on multi-constellation integrated navigation. In 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings (pp. 1752-1756). Article 7925002 (2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CompComm.2016.7925002

Wang, Wenbo ; Fan, Guochao ; Niu, Fei et al. / Analysis and comparison of robust least squares estimation based on multi-constellation integrated navigation. 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1752-1756 (2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings).

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title = "Analysis and comparison of robust least squares estimation based on multi-constellation integrated navigation",

abstract = "To solve the problem of the least squares estimation does not have the ability to resist the gross errors in global navigation satellite system (GNSS), the theory of robust least squares estimation is introduced, three methods (Huber, IGG, IGGIII) to construct the equivalent weight are expounded and the determination of initial parameter of the equivalent weight is discussed. The results of simulation based on GPS/BDS multi-constellation show that the robust least squares estimation can ensure the accuracy of navigation and positioning effectively, the estimator with IGGIII equivalent weight method presents optimal solutions, furthermore the performance of the robust estimation method based on median parameter estimate is better than the individual robust estimation.",

keywords = "Equivalent weight, GNSS, GPS/BDS multi-constellation, Median parameter, Robust least squares estimation",

author = "Wenbo Wang and Guochao Fan and Fei Niu and Chengdong Xu",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2nd IEEE International Conference on Computer and Communications, ICCC 2016 ; Conference date: 14-10-2016 Through 17-10-2016",

year = "2017",

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doi = "10.1109/CompComm.2016.7925002",

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series = "2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings",

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Wang, W, Fan, G, Niu, F & Xu, C 2017, Analysis and comparison of robust least squares estimation based on multi-constellation integrated navigation. in 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings., 7925002, 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1752-1756, 2nd IEEE International Conference on Computer and Communications, ICCC 2016, Chengdu, China, 14/10/16. https://doi.org/10.1109/CompComm.2016.7925002

Analysis and comparison of robust least squares estimation based on multi-constellation integrated navigation. / Wang, Wenbo; Fan, Guochao; Niu, Fei et al.
2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1752-1756 7925002 (2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings).

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

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T1 - Analysis and comparison of robust least squares estimation based on multi-constellation integrated navigation

AU - Wang, Wenbo

AU - Fan, Guochao

AU - Niu, Fei

AU - Xu, Chengdong

PY - 2017/5/10

Y1 - 2017/5/10

N2 - To solve the problem of the least squares estimation does not have the ability to resist the gross errors in global navigation satellite system (GNSS), the theory of robust least squares estimation is introduced, three methods (Huber, IGG, IGGIII) to construct the equivalent weight are expounded and the determination of initial parameter of the equivalent weight is discussed. The results of simulation based on GPS/BDS multi-constellation show that the robust least squares estimation can ensure the accuracy of navigation and positioning effectively, the estimator with IGGIII equivalent weight method presents optimal solutions, furthermore the performance of the robust estimation method based on median parameter estimate is better than the individual robust estimation.

AB - To solve the problem of the least squares estimation does not have the ability to resist the gross errors in global navigation satellite system (GNSS), the theory of robust least squares estimation is introduced, three methods (Huber, IGG, IGGIII) to construct the equivalent weight are expounded and the determination of initial parameter of the equivalent weight is discussed. The results of simulation based on GPS/BDS multi-constellation show that the robust least squares estimation can ensure the accuracy of navigation and positioning effectively, the estimator with IGGIII equivalent weight method presents optimal solutions, furthermore the performance of the robust estimation method based on median parameter estimate is better than the individual robust estimation.

KW - Equivalent weight

KW - GNSS

KW - GPS/BDS multi-constellation

KW - Median parameter

KW - Robust least squares estimation

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Wang W, Fan G, Niu F, Xu C. Analysis and comparison of robust least squares estimation based on multi-constellation integrated navigation. In 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1752-1756. 7925002. (2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings). doi: 10.1109/CompComm.2016.7925002

Analysis and comparison of robust least squares estimation based on multi-constellation integrated navigation

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