Data fusion over network

Yuanqing Xia; Jizong Shang; Jie Chen; Guoping Liu

doi:10.1109/CHICC.2008.4605439

Data fusion over network

Yuanqing Xia^*, Jizong Shang, Jie Chen, Guoping Liu

^*Corresponding author for this work

School of Automation

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

4 Citations (Scopus)

Abstract

A new networked multi-sensor data fusion method which is based on Federated Filter is developed in this paper. The original system is far away form Data Processing Center (DPC), and measurements transmitted to DPC through network are used to produce a estimation of the measurement signal and Federated Filter is utilized to improve its accuracy. Due to the possible existence of both packet losses and network delay, it is necessary to check whether the Filter is stable, and consider how to process the delay data. Some sufficient conditions are presented for Kalman filter based Location Filters (LF) in the Federated Filter are stable, and a new method to process the delay data is developed here. Finally, an experiment is designed to show the effectiveness of the proposed scheme.

Original language	English
Title of host publication	Proceedings of the 27th Chinese Control Conference, CCC
Pages	452-456
Number of pages	5
DOIs	https://doi.org/10.1109/CHICC.2008.4605439
Publication status	Published - 2008
Event	27th Chinese Control Conference, CCC - Kunming, Yunnan, China Duration: 16 Jul 2008 → 18 Jul 2008

Publication series

Name	Proceedings of the 27th Chinese Control Conference, CCC

Conference

Conference	27th Chinese Control Conference, CCC
Country/Territory	China
City	Kunming, Yunnan
Period	16/07/08 → 18/07/08

Keywords

Data fusion
Federated filter
Kalman filter

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10.1109/CHICC.2008.4605439

Cite this

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title = "Data fusion over network",

abstract = "A new networked multi-sensor data fusion method which is based on Federated Filter is developed in this paper. The original system is far away form Data Processing Center (DPC), and measurements transmitted to DPC through network are used to produce a estimation of the measurement signal and Federated Filter is utilized to improve its accuracy. Due to the possible existence of both packet losses and network delay, it is necessary to check whether the Filter is stable, and consider how to process the delay data. Some sufficient conditions are presented for Kalman filter based Location Filters (LF) in the Federated Filter are stable, and a new method to process the delay data is developed here. Finally, an experiment is designed to show the effectiveness of the proposed scheme.",

keywords = "Data fusion, Federated filter, Kalman filter",

author = "Yuanqing Xia and Jizong Shang and Jie Chen and Guoping Liu",

year = "2008",

doi = "10.1109/CHICC.2008.4605439",

language = "English",

isbn = "9787900719706",

series = "Proceedings of the 27th Chinese Control Conference, CCC",

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note = "27th Chinese Control Conference, CCC ; Conference date: 16-07-2008 Through 18-07-2008",

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TY - GEN

T1 - Data fusion over network

AU - Xia, Yuanqing

AU - Shang, Jizong

AU - Chen, Jie

AU - Liu, Guoping

PY - 2008

Y1 - 2008

N2 - A new networked multi-sensor data fusion method which is based on Federated Filter is developed in this paper. The original system is far away form Data Processing Center (DPC), and measurements transmitted to DPC through network are used to produce a estimation of the measurement signal and Federated Filter is utilized to improve its accuracy. Due to the possible existence of both packet losses and network delay, it is necessary to check whether the Filter is stable, and consider how to process the delay data. Some sufficient conditions are presented for Kalman filter based Location Filters (LF) in the Federated Filter are stable, and a new method to process the delay data is developed here. Finally, an experiment is designed to show the effectiveness of the proposed scheme.

AB - A new networked multi-sensor data fusion method which is based on Federated Filter is developed in this paper. The original system is far away form Data Processing Center (DPC), and measurements transmitted to DPC through network are used to produce a estimation of the measurement signal and Federated Filter is utilized to improve its accuracy. Due to the possible existence of both packet losses and network delay, it is necessary to check whether the Filter is stable, and consider how to process the delay data. Some sufficient conditions are presented for Kalman filter based Location Filters (LF) in the Federated Filter are stable, and a new method to process the delay data is developed here. Finally, an experiment is designed to show the effectiveness of the proposed scheme.

KW - Data fusion

KW - Federated filter

KW - Kalman filter

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U2 - 10.1109/CHICC.2008.4605439

DO - 10.1109/CHICC.2008.4605439

M3 - Conference contribution

AN - SCOPUS:52449125871

SN - 9787900719706

T3 - Proceedings of the 27th Chinese Control Conference, CCC

SP - 452

EP - 456

BT - Proceedings of the 27th Chinese Control Conference, CCC

T2 - 27th Chinese Control Conference, CCC

Y2 - 16 July 2008 through 18 July 2008

ER -

Data fusion over network

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Keywords

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