Network joint clock synchronization and ranging: Bayesian linear solution

Xiaobo Gu; Qing Chang; Eamonn Glennon; Andrew Dempster; Xianxu Li

doi:10.23919/ChiCC.2019.8866652

Network joint clock synchronization and ranging: Bayesian linear solution

Xiaobo Gu
, Qing Chang
, Eamonn Glennon
, Andrew Dempster
, Xianxu Li

School of Electronic and Information Engineering

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

1 Scopus citations

Abstract

In order to jointly estimate the clock skews, clock offsets and fixed relative distances, a network wide observation formula based on two-way timing stamp exchange mechanism is firstly derived, according to which, the implementation conditions and restrictions of the existing algorithms apply. Secondly, a novel global Bayesian linear (GBL) estimatior is presented in this paper. Compared with the other existed solutions, the proposed algorithm provides a recursive, rapid and low-complexity way, and frees the restrictions of symmetric and synchronous communications. Finally, the Monte Carlo experiments show that the GBL estimator achieves the relative better performance.

Original language	English
Title of host publication	Proceedings of the 38th Chinese Control Conference, CCC 2019
Editors	Minyue Fu, Jian Sun
Publisher	IEEE Computer Society
Pages	6363-6366
Number of pages	4
ISBN (Electronic)	9789881563972
DOIs	https://doi.org/10.23919/ChiCC.2019.8866652
State	Published - Jul 2019
Event	38th Chinese Control Conference, CCC 2019 - Guangzhou, China Duration: 27 Jul 2019 → 30 Jul 2019

Publication series

Name	Chinese Control Conference, CCC
Volume	2019-July
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	38th Chinese Control Conference, CCC 2019
Country/Territory	China
City	Guangzhou
Period	27/07/19 → 30/07/19

Keywords

Bayesian linear estimation
Clock model
Joint estimation
Time synchronization
Two-way timing stamp exchange

Access to Document

10.23919/ChiCC.2019.8866652

Cite this

Gu, X., Chang, Q., Glennon, E., Dempster, A., & Li, X. (2019). Network joint clock synchronization and ranging: Bayesian linear solution. In M. Fu, & J. Sun (Eds.), Proceedings of the 38th Chinese Control Conference, CCC 2019 (pp. 6363-6366). Article 8866652 (Chinese Control Conference, CCC; Vol. 2019-July). IEEE Computer Society. https://doi.org/10.23919/ChiCC.2019.8866652

@inproceedings{177aee28f83242808580e9949889a863,

title = "Network joint clock synchronization and ranging: Bayesian linear solution",

abstract = "In order to jointly estimate the clock skews, clock offsets and fixed relative distances, a network wide observation formula based on two-way timing stamp exchange mechanism is firstly derived, according to which, the implementation conditions and restrictions of the existing algorithms apply. Secondly, a novel global Bayesian linear (GBL) estimatior is presented in this paper. Compared with the other existed solutions, the proposed algorithm provides a recursive, rapid and low-complexity way, and frees the restrictions of symmetric and synchronous communications. Finally, the Monte Carlo experiments show that the GBL estimator achieves the relative better performance.",

keywords = "Bayesian linear estimation, Clock model, Joint estimation, Time synchronization, Two-way timing stamp exchange",

author = "Xiaobo Gu and Qing Chang and Eamonn Glennon and Andrew Dempster and Xianxu Li",

note = "Publisher Copyright: {\textcopyright} 2019 Technical Committee on Control Theory, Chinese Association of Automation.; 38th Chinese Control Conference, CCC 2019 ; Conference date: 27-07-2019 Through 30-07-2019",

year = "2019",

month = jul,

doi = "10.23919/ChiCC.2019.8866652",

language = "英语",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

pages = "6363--6366",

editor = "Minyue Fu and Jian Sun",

booktitle = "Proceedings of the 38th Chinese Control Conference, CCC 2019",

address = "美国",

}

Gu, X, Chang, Q, Glennon, E, Dempster, A & Li, X 2019, Network joint clock synchronization and ranging: Bayesian linear solution. in M Fu & J Sun (eds), Proceedings of the 38th Chinese Control Conference, CCC 2019., 8866652, Chinese Control Conference, CCC, vol. 2019-July, IEEE Computer Society, pp. 6363-6366, 38th Chinese Control Conference, CCC 2019, Guangzhou, China, 27/07/19. https://doi.org/10.23919/ChiCC.2019.8866652

Network joint clock synchronization and ranging: Bayesian linear solution. / Gu, Xiaobo; Chang, Qing; Glennon, Eamonn et al.
Proceedings of the 38th Chinese Control Conference, CCC 2019. ed. / Minyue Fu; Jian Sun. IEEE Computer Society, 2019. p. 6363-6366 8866652 (Chinese Control Conference, CCC; Vol. 2019-July).

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

TY - GEN

T1 - Network joint clock synchronization and ranging

T2 - 38th Chinese Control Conference, CCC 2019

AU - Gu, Xiaobo

AU - Chang, Qing

AU - Glennon, Eamonn

AU - Dempster, Andrew

AU - Li, Xianxu

PY - 2019/7

Y1 - 2019/7

N2 - In order to jointly estimate the clock skews, clock offsets and fixed relative distances, a network wide observation formula based on two-way timing stamp exchange mechanism is firstly derived, according to which, the implementation conditions and restrictions of the existing algorithms apply. Secondly, a novel global Bayesian linear (GBL) estimatior is presented in this paper. Compared with the other existed solutions, the proposed algorithm provides a recursive, rapid and low-complexity way, and frees the restrictions of symmetric and synchronous communications. Finally, the Monte Carlo experiments show that the GBL estimator achieves the relative better performance.

AB - In order to jointly estimate the clock skews, clock offsets and fixed relative distances, a network wide observation formula based on two-way timing stamp exchange mechanism is firstly derived, according to which, the implementation conditions and restrictions of the existing algorithms apply. Secondly, a novel global Bayesian linear (GBL) estimatior is presented in this paper. Compared with the other existed solutions, the proposed algorithm provides a recursive, rapid and low-complexity way, and frees the restrictions of symmetric and synchronous communications. Finally, the Monte Carlo experiments show that the GBL estimator achieves the relative better performance.

KW - Bayesian linear estimation

KW - Clock model

KW - Joint estimation

KW - Time synchronization

KW - Two-way timing stamp exchange

UR - https://www.scopus.com/pages/publications/85074415652

U2 - 10.23919/ChiCC.2019.8866652

DO - 10.23919/ChiCC.2019.8866652

M3 - 会议稿件

AN - SCOPUS:85074415652

T3 - Chinese Control Conference, CCC

SP - 6363

EP - 6366

BT - Proceedings of the 38th Chinese Control Conference, CCC 2019

A2 - Fu, Minyue

A2 - Sun, Jian

PB - IEEE Computer Society

Y2 - 27 July 2019 through 30 July 2019

ER -

Network joint clock synchronization and ranging: Bayesian linear solution

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this