Modified EKF-based nonlinear filtering over wireless channels with transmission failure and fading

Luyu Li; Zhen Li; Xiangdong Liu; Yongzhi Sheng

doi:10.1109/ChiCC.2016.7553359

Modified EKF-based nonlinear filtering over wireless channels with transmission failure and fading

Luyu Li, Zhen Li, Xiangdong Liu, Yongzhi Sheng

Beijing Institute of Technology

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

Abstract

This paper addresses the stochastic stability problem of a modified extended Kalman filter (MEKF), targeted at the state estimation of the nonlinear system through wireless channel, where both transmission failure and channel fading are practically under consideration. For a class of nonlinear systems whose observation's Jacobi Matrix is always invertible, the sufficient conditions of the error covariance matrices are accordingly established. Moreover, the conditions for the stochastic stability of the estimation error are also derived, which is tighter than the conditions of boundedness of the error covariance. Furthermore, a numerical example is given to demonstrate the feasibility of the proposed method.

Original language	English
Title of host publication	Proceedings of the 35th Chinese Control Conference, CCC 2016
Editors	Jie Chen, Qianchuan Zhao, Jie Chen
Publisher	IEEE Computer Society
Pages	1826-1830
Number of pages	5
ISBN (Electronic)	9789881563910
DOIs	https://doi.org/10.1109/ChiCC.2016.7553359
Publication status	Published - 26 Aug 2016
Event	35th Chinese Control Conference, CCC 2016 - Chengdu, China Duration: 27 Jul 2016 → 29 Jul 2016

Publication series

Name	Chinese Control Conference, CCC
Volume	2016-August
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	35th Chinese Control Conference, CCC 2016
Country/Territory	China
City	Chengdu
Period	27/07/16 → 29/07/16

Keywords

Extended Kalman filter
fading
stochastic stability
transmission failure

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10.1109/ChiCC.2016.7553359

Cite this

Li, L., Li, Z., Liu, X., & Sheng, Y. (2016). Modified EKF-based nonlinear filtering over wireless channels with transmission failure and fading. In J. Chen, Q. Zhao, & J. Chen (Eds.), Proceedings of the 35th Chinese Control Conference, CCC 2016 (pp. 1826-1830). Article 7553359 (Chinese Control Conference, CCC; Vol. 2016-August). IEEE Computer Society. https://doi.org/10.1109/ChiCC.2016.7553359

@inproceedings{34772f254cd64874b10b1d81dc30868f,

title = "Modified EKF-based nonlinear filtering over wireless channels with transmission failure and fading",

abstract = "This paper addresses the stochastic stability problem of a modified extended Kalman filter (MEKF), targeted at the state estimation of the nonlinear system through wireless channel, where both transmission failure and channel fading are practically under consideration. For a class of nonlinear systems whose observation's Jacobi Matrix is always invertible, the sufficient conditions of the error covariance matrices are accordingly established. Moreover, the conditions for the stochastic stability of the estimation error are also derived, which is tighter than the conditions of boundedness of the error covariance. Furthermore, a numerical example is given to demonstrate the feasibility of the proposed method.",

keywords = "Extended Kalman filter, fading, stochastic stability, transmission failure",

author = "Luyu Li and Zhen Li and Xiangdong Liu and Yongzhi Sheng",

note = "Publisher Copyright: {\textcopyright} 2016 TCCT.; 35th Chinese Control Conference, CCC 2016 ; Conference date: 27-07-2016 Through 29-07-2016",

year = "2016",

month = aug,

day = "26",

doi = "10.1109/ChiCC.2016.7553359",

language = "English",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

pages = "1826--1830",

editor = "Jie Chen and Qianchuan Zhao and Jie Chen",

booktitle = "Proceedings of the 35th Chinese Control Conference, CCC 2016",

address = "United States",

}

Li, L, Li, Z , Liu, X & Sheng, Y 2016, Modified EKF-based nonlinear filtering over wireless channels with transmission failure and fading. in J Chen, Q Zhao & J Chen (eds), Proceedings of the 35th Chinese Control Conference, CCC 2016., 7553359, Chinese Control Conference, CCC, vol. 2016-August, IEEE Computer Society, pp. 1826-1830, 35th Chinese Control Conference, CCC 2016, Chengdu, China, 27/07/16. https://doi.org/10.1109/ChiCC.2016.7553359

Modified EKF-based nonlinear filtering over wireless channels with transmission failure and fading. / Li, Luyu; Li, Zhen ; Liu, Xiangdong et al.
Proceedings of the 35th Chinese Control Conference, CCC 2016. ed. / Jie Chen; Qianchuan Zhao; Jie Chen. IEEE Computer Society, 2016. p. 1826-1830 7553359 (Chinese Control Conference, CCC; Vol. 2016-August).

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

TY - GEN

T1 - Modified EKF-based nonlinear filtering over wireless channels with transmission failure and fading

AU - Li, Luyu

AU - Li, Zhen

AU - Liu, Xiangdong

AU - Sheng, Yongzhi

PY - 2016/8/26

Y1 - 2016/8/26

N2 - This paper addresses the stochastic stability problem of a modified extended Kalman filter (MEKF), targeted at the state estimation of the nonlinear system through wireless channel, where both transmission failure and channel fading are practically under consideration. For a class of nonlinear systems whose observation's Jacobi Matrix is always invertible, the sufficient conditions of the error covariance matrices are accordingly established. Moreover, the conditions for the stochastic stability of the estimation error are also derived, which is tighter than the conditions of boundedness of the error covariance. Furthermore, a numerical example is given to demonstrate the feasibility of the proposed method.

AB - This paper addresses the stochastic stability problem of a modified extended Kalman filter (MEKF), targeted at the state estimation of the nonlinear system through wireless channel, where both transmission failure and channel fading are practically under consideration. For a class of nonlinear systems whose observation's Jacobi Matrix is always invertible, the sufficient conditions of the error covariance matrices are accordingly established. Moreover, the conditions for the stochastic stability of the estimation error are also derived, which is tighter than the conditions of boundedness of the error covariance. Furthermore, a numerical example is given to demonstrate the feasibility of the proposed method.

KW - Extended Kalman filter

KW - fading

KW - stochastic stability

KW - transmission failure

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U2 - 10.1109/ChiCC.2016.7553359

DO - 10.1109/ChiCC.2016.7553359

M3 - Conference contribution

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SP - 1826

EP - 1830

BT - Proceedings of the 35th Chinese Control Conference, CCC 2016

A2 - Chen, Jie

A2 - Zhao, Qianchuan

A2 - Chen, Jie

PB - IEEE Computer Society

T2 - 35th Chinese Control Conference, CCC 2016

Y2 - 27 July 2016 through 29 July 2016

ER -

Modified EKF-based nonlinear filtering over wireless channels with transmission failure and fading

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