Receiver autonomous integrity monitoring algorithm based on robust extended kalman filter

Zhen Li; Dan Song; Fei Niu; Chengdong Xu

doi:10.1109/CompComm.2016.7925014

Receiver autonomous integrity monitoring algorithm based on robust extended kalman filter

Zhen Li, Dan Song, Fei Niu, Chengdong Xu

School of Aerospace Engineering

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

1 Citation (Scopus)

Abstract

A receiver autonomous integrity monitoring (RAIM) algorithm based on robust extended kalman filter (REKF) is used for detecting and identifying the micro pseudorange error in this paper. The micro pseudorange error propagation is controlled by REKF, and the test statistics is constructed precisely to detect and identify the error. The simulation results show that the RAIM algorithm based on REKF has a higher fault detection rate and fault identification rate for micro pseudorange error than the conventional RAIM algorithm based on conventional extended kalman filter (CEKF), besides, the position accuracy is improved.

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	1809-1813
Number of pages	5
ISBN (Electronic)	9781467390262
DOIs	https://doi.org/10.1109/CompComm.2016.7925014
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

Micro pseudorange error
Position accuracy
Receiver autonomous integrity monitoring (RAIM)
Robust extended kalman filter (REKF)

Access to Document

10.1109/CompComm.2016.7925014

Cite this

Li, Z., Song, D., Niu, F., & Xu, C. (2017). Receiver autonomous integrity monitoring algorithm based on robust extended kalman filter. In 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings (pp. 1809-1813). Article 7925014 (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.2016.7925014

Li, Zhen ; Song, Dan ; Niu, Fei et al. / Receiver autonomous integrity monitoring algorithm based on robust extended kalman filter. 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1809-1813 (2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings).

@inproceedings{7b0eb7caaf0e417ab44bf78bc5333d8b,

title = "Receiver autonomous integrity monitoring algorithm based on robust extended kalman filter",

abstract = "A receiver autonomous integrity monitoring (RAIM) algorithm based on robust extended kalman filter (REKF) is used for detecting and identifying the micro pseudorange error in this paper. The micro pseudorange error propagation is controlled by REKF, and the test statistics is constructed precisely to detect and identify the error. The simulation results show that the RAIM algorithm based on REKF has a higher fault detection rate and fault identification rate for micro pseudorange error than the conventional RAIM algorithm based on conventional extended kalman filter (CEKF), besides, the position accuracy is improved.",

keywords = "Micro pseudorange error, Position accuracy, Receiver autonomous integrity monitoring (RAIM), Robust extended kalman filter (REKF)",

author = "Zhen Li and Dan Song 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",

month = may,

day = "10",

doi = "10.1109/CompComm.2016.7925014",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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address = "United States",

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Li, Z, Song, D, Niu, F & Xu, C 2017, Receiver autonomous integrity monitoring algorithm based on robust extended kalman filter. in 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings., 7925014, 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1809-1813, 2nd IEEE International Conference on Computer and Communications, ICCC 2016, Chengdu, China, 14/10/16. https://doi.org/10.1109/CompComm.2016.7925014

Receiver autonomous integrity monitoring algorithm based on robust extended kalman filter. / Li, Zhen; Song, Dan; 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. 1809-1813 7925014 (2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings).

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

TY - GEN

T1 - Receiver autonomous integrity monitoring algorithm based on robust extended kalman filter

AU - Li, Zhen

AU - Song, Dan

AU - Niu, Fei

AU - Xu, Chengdong

PY - 2017/5/10

Y1 - 2017/5/10

N2 - A receiver autonomous integrity monitoring (RAIM) algorithm based on robust extended kalman filter (REKF) is used for detecting and identifying the micro pseudorange error in this paper. The micro pseudorange error propagation is controlled by REKF, and the test statistics is constructed precisely to detect and identify the error. The simulation results show that the RAIM algorithm based on REKF has a higher fault detection rate and fault identification rate for micro pseudorange error than the conventional RAIM algorithm based on conventional extended kalman filter (CEKF), besides, the position accuracy is improved.

AB - A receiver autonomous integrity monitoring (RAIM) algorithm based on robust extended kalman filter (REKF) is used for detecting and identifying the micro pseudorange error in this paper. The micro pseudorange error propagation is controlled by REKF, and the test statistics is constructed precisely to detect and identify the error. The simulation results show that the RAIM algorithm based on REKF has a higher fault detection rate and fault identification rate for micro pseudorange error than the conventional RAIM algorithm based on conventional extended kalman filter (CEKF), besides, the position accuracy is improved.

KW - Micro pseudorange error

KW - Position accuracy

KW - Receiver autonomous integrity monitoring (RAIM)

KW - Robust extended kalman filter (REKF)

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U2 - 10.1109/CompComm.2016.7925014

DO - 10.1109/CompComm.2016.7925014

M3 - Conference contribution

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T3 - 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings

SP - 1809

EP - 1813

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

PB - Institute of Electrical and Electronics Engineers Inc.

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Li Z, Song D, Niu F, Xu C. Receiver autonomous integrity monitoring algorithm based on robust extended kalman filter. In 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1809-1813. 7925014. (2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings). doi: 10.1109/CompComm.2016.7925014

Receiver autonomous integrity monitoring algorithm based on robust extended kalman filter

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