Hierarchical fusion estimation for multi-sensor networked systems with transmission delays and packet dropouts

Hongjiu Yang; Hui Li; Yuanqing Xia; Li Li

doi:10.1016/j.sigpro.2018.10.021

Hierarchical fusion estimation for multi-sensor networked systems with transmission delays and packet dropouts

Hongjiu Yang, Hui Li, Yuanqing Xia, Li Li^*

^*Corresponding author for this work

School of Automation

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

This paper focuses on hierarchical fusion estimation for a multi-sensor networked system subject to transmission delays and packet dropouts. In the hierarchical fusion estimation, an asynchronous sampling scheme is utilized to reduce networked transmission burdens and communication energy. A hierarchical fusion estimation method is proposed to improve estimation performance with transmission delays and packet dropouts. A numerical example is shown to illustrate effectiveness of the developed techniques.

Original language	English
Pages (from-to)	156-165
Number of pages	10
Journal	Signal Processing
Volume	156
DOIs	https://doi.org/10.1016/j.sigpro.2018.10.021
Publication status	Published - Mar 2019

Keywords

Asynchronous sampling
Hierarchical fusion estimation
Multi-sensor networked systems
Packet dropouts
Transmission delays

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10.1016/j.sigpro.2018.10.021

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title = "Hierarchical fusion estimation for multi-sensor networked systems with transmission delays and packet dropouts",

abstract = "This paper focuses on hierarchical fusion estimation for a multi-sensor networked system subject to transmission delays and packet dropouts. In the hierarchical fusion estimation, an asynchronous sampling scheme is utilized to reduce networked transmission burdens and communication energy. A hierarchical fusion estimation method is proposed to improve estimation performance with transmission delays and packet dropouts. A numerical example is shown to illustrate effectiveness of the developed techniques.",

keywords = "Asynchronous sampling, Hierarchical fusion estimation, Multi-sensor networked systems, Packet dropouts, Transmission delays",

author = "Hongjiu Yang and Hui Li and Yuanqing Xia and Li Li",

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year = "2019",

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AU - Yang, Hongjiu

AU - Li, Hui

AU - Xia, Yuanqing

AU - Li, Li

PY - 2019/3

Y1 - 2019/3

N2 - This paper focuses on hierarchical fusion estimation for a multi-sensor networked system subject to transmission delays and packet dropouts. In the hierarchical fusion estimation, an asynchronous sampling scheme is utilized to reduce networked transmission burdens and communication energy. A hierarchical fusion estimation method is proposed to improve estimation performance with transmission delays and packet dropouts. A numerical example is shown to illustrate effectiveness of the developed techniques.

AB - This paper focuses on hierarchical fusion estimation for a multi-sensor networked system subject to transmission delays and packet dropouts. In the hierarchical fusion estimation, an asynchronous sampling scheme is utilized to reduce networked transmission burdens and communication energy. A hierarchical fusion estimation method is proposed to improve estimation performance with transmission delays and packet dropouts. A numerical example is shown to illustrate effectiveness of the developed techniques.

KW - Asynchronous sampling

KW - Hierarchical fusion estimation

KW - Multi-sensor networked systems

KW - Packet dropouts

KW - Transmission delays

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JO - Signal Processing

JF - Signal Processing

ER -

Hierarchical fusion estimation for multi-sensor networked systems with transmission delays and packet dropouts

Abstract

Keywords

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