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

宇航学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings
出版商	Institute of Electrical and Electronics Engineers Inc.
页	1809-1813
页数	5
ISBN（电子版）	9781467390262
DOI	https://doi.org/10.1109/CompComm.2016.7925014
出版状态	已出版 - 10 5月 2017
活动	2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Chengdu, 中国期限: 14 10月 2016 → 17 10月 2016

出版系列

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

会议

会议	2nd IEEE International Conference on Computer and Communications, ICCC 2016
国家/地区	中国
市	Chengdu
时期	14/10/16 → 17/10/16

访问文件

10.1109/CompComm.2016.7925014

其它文件与链接

链接到 Scopus 的出版物

引用此

Li, Z., Song, D., Niu, F., & Xu, C. (2017). Receiver autonomous integrity monitoring algorithm based on robust extended kalman filter. 在 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings (页码 1809-1813). 文章 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 等. / 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. 页码 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.",

pages = "1809--1813",

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

address = "United States",

}

Li, Z, Song, D, Niu, F & Xu, C 2017, Receiver autonomous integrity monitoring algorithm based on robust extended kalman filter. 在 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., 页码 1809-1813, 2nd IEEE International Conference on Computer and Communications, ICCC 2016, Chengdu, 中国, 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 等.
2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 1809-1813 7925014 (2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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)

UR - http://www.scopus.com/inward/record.url?scp=85020227049&partnerID=8YFLogxK

U2 - 10.1109/CompComm.2016.7925014

DO - 10.1109/CompComm.2016.7925014

M3 - Conference contribution

AN - SCOPUS:85020227049

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.

T2 - 2nd IEEE International Conference on Computer and Communications, ICCC 2016

Y2 - 14 October 2016 through 17 October 2016

ER -

Li Z, Song D, Niu F, Xu C. Receiver autonomous integrity monitoring algorithm based on robust extended kalman filter. 在 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. 页码 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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