Point positioning using extended kalman filtering in single frequency beidou receivers

Salma Zainab Farooq; Xuebao Hong; Dongkai Yang; Ming Xia; Echoda Ngbede Joshua Ada

doi:10.1109/UPINLBS.2018.8559910

Point positioning using extended kalman filtering in single frequency beidou receivers

Salma Zainab Farooq
, Xuebao Hong
, Dongkai Yang
, Ming Xia
, Echoda Ngbede Joshua Ada

School of Electronic and Information Engineering

Beihang University

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

2 Scopus citations

Abstract

BeiDou is the Chinese global satellite navigation system steadily accelerating towards completion by 2020. The system aims to provide continuous, stable and reliable position, navigation and timing services to users across globe. This research focusses on determining the system accuracy using an extended Kalman filter for point positioning in single frequency BeiDou Receivers. Low cost single frequency receivers are targeted for mass market applications. The filter model is described in detail and positioning results are obtained for both extended Kalman filter and traditional least squares technique. It is seen that the extended Kalman filter based navigation solution has a much lower positioning error than the least square approach. The technique can contribute to volunteered geographic information services such as OpenStreetMap etc.

Original language	English
Title of host publication	Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538637555
DOIs	https://doi.org/10.1109/UPINLBS.2018.8559910
State	Published - 4 Dec 2018
Event	5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018 - Wuhan, China Duration: 22 Mar 2018 → 23 Mar 2018

Publication series

Name	Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018

Conference

Conference	5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018
Country/Territory	China
City	Wuhan
Period	22/03/18 → 23/03/18

Keywords

BDS
Extended Kalman Filtering
Single frequency Receivers
mass market applications
point positioning

Access to Document

10.1109/UPINLBS.2018.8559910

Cite this

Farooq, S. Z., Hong, X., Yang, D., Xia, M., & Ada, E. N. J. (2018). Point positioning using extended kalman filtering in single frequency beidou receivers. In Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018 Article 8559910 (Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UPINLBS.2018.8559910

Farooq, Salma Zainab ; Hong, Xuebao ; Yang, Dongkai et al. / Point positioning using extended kalman filtering in single frequency beidou receivers. Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018).

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title = "Point positioning using extended kalman filtering in single frequency beidou receivers",

abstract = "BeiDou is the Chinese global satellite navigation system steadily accelerating towards completion by 2020. The system aims to provide continuous, stable and reliable position, navigation and timing services to users across globe. This research focusses on determining the system accuracy using an extended Kalman filter for point positioning in single frequency BeiDou Receivers. Low cost single frequency receivers are targeted for mass market applications. The filter model is described in detail and positioning results are obtained for both extended Kalman filter and traditional least squares technique. It is seen that the extended Kalman filter based navigation solution has a much lower positioning error than the least square approach. The technique can contribute to volunteered geographic information services such as OpenStreetMap etc.",

keywords = "BDS, Extended Kalman Filtering, Single frequency Receivers, mass market applications, point positioning",

author = "Farooq, \{Salma Zainab\} and Xuebao Hong and Dongkai Yang and Ming Xia and Ada, \{Echoda Ngbede Joshua\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018 ; Conference date: 22-03-2018 Through 23-03-2018",

year = "2018",

month = dec,

day = "4",

doi = "10.1109/UPINLBS.2018.8559910",

language = "英语",

series = "Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018",

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

booktitle = "Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018",

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}

Farooq, SZ, Hong, X, Yang, D, Xia, M & Ada, ENJ 2018, Point positioning using extended kalman filtering in single frequency beidou receivers. in Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018., 8559910, Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018, Institute of Electrical and Electronics Engineers Inc., 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018, Wuhan, China, 22/03/18. https://doi.org/10.1109/UPINLBS.2018.8559910

Point positioning using extended kalman filtering in single frequency beidou receivers. / Farooq, Salma Zainab; Hong, Xuebao; Yang, Dongkai et al.
Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8559910 (Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018).

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

TY - GEN

T1 - Point positioning using extended kalman filtering in single frequency beidou receivers

AU - Farooq, Salma Zainab

AU - Hong, Xuebao

AU - Yang, Dongkai

AU - Xia, Ming

AU - Ada, Echoda Ngbede Joshua

PY - 2018/12/4

Y1 - 2018/12/4

N2 - BeiDou is the Chinese global satellite navigation system steadily accelerating towards completion by 2020. The system aims to provide continuous, stable and reliable position, navigation and timing services to users across globe. This research focusses on determining the system accuracy using an extended Kalman filter for point positioning in single frequency BeiDou Receivers. Low cost single frequency receivers are targeted for mass market applications. The filter model is described in detail and positioning results are obtained for both extended Kalman filter and traditional least squares technique. It is seen that the extended Kalman filter based navigation solution has a much lower positioning error than the least square approach. The technique can contribute to volunteered geographic information services such as OpenStreetMap etc.

AB - BeiDou is the Chinese global satellite navigation system steadily accelerating towards completion by 2020. The system aims to provide continuous, stable and reliable position, navigation and timing services to users across globe. This research focusses on determining the system accuracy using an extended Kalman filter for point positioning in single frequency BeiDou Receivers. Low cost single frequency receivers are targeted for mass market applications. The filter model is described in detail and positioning results are obtained for both extended Kalman filter and traditional least squares technique. It is seen that the extended Kalman filter based navigation solution has a much lower positioning error than the least square approach. The technique can contribute to volunteered geographic information services such as OpenStreetMap etc.

KW - BDS

KW - Extended Kalman Filtering

KW - Single frequency Receivers

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KW - point positioning

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PB - Institute of Electrical and Electronics Engineers Inc.

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Farooq SZ, Hong X, Yang D, Xia M, Ada ENJ. Point positioning using extended kalman filtering in single frequency beidou receivers. In Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8559910. (Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018). doi: 10.1109/UPINLBS.2018.8559910

Point positioning using extended kalman filtering in single frequency beidou receivers

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