Multi-sensor information fusion method based on dynamic Bayesian networks

Rong Jun Mu; Peng Xin Han; Nai Gang Cui

Multi-sensor information fusion method based on dynamic Bayesian networks

Rong Jun Mu^*
, Peng Xin Han
, Nai Gang Cui

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

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

2 Scopus citations

Abstract

In order to improve the fault-tolerant and dynamic optimization capability of the information fusion method for multisensor system, the theory of dynamic Bayesian networks is used to rebuild the conventional federated Kalman filter. And a kind of active and dynamic information fusion and optimization method for multisensor systems under high dynamic situation is proposed. The simulation results show the high dynamic flexibility and fault-tolerant ability of the proposed method.

Original language	English
Pages (from-to)	1340-1344+1350
Journal	Kongzhi yu Juece/Control and Decision
Volume	24
Issue number	9
State	Published - Sep 2009

Keywords

Active and dynamic information fusion
Dynamic Bayesian networks
Dynamic optimization
Fault-tolerant

Cite this

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title = "Multi-sensor information fusion method based on dynamic Bayesian networks",

abstract = "In order to improve the fault-tolerant and dynamic optimization capability of the information fusion method for multisensor system, the theory of dynamic Bayesian networks is used to rebuild the conventional federated Kalman filter. And a kind of active and dynamic information fusion and optimization method for multisensor systems under high dynamic situation is proposed. The simulation results show the high dynamic flexibility and fault-tolerant ability of the proposed method.",

keywords = "Active and dynamic information fusion, Dynamic Bayesian networks, Dynamic optimization, Fault-tolerant",

author = "Mu, \{Rong Jun\} and Han, \{Peng Xin\} and Cui, \{Nai Gang\}",

year = "2009",

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language = "英语",

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journal = "Kongzhi yu Juece/Control and Decision",

issn = "1001-0920",

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T1 - Multi-sensor information fusion method based on dynamic Bayesian networks

AU - Mu, Rong Jun

AU - Han, Peng Xin

AU - Cui, Nai Gang

PY - 2009/9

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N2 - In order to improve the fault-tolerant and dynamic optimization capability of the information fusion method for multisensor system, the theory of dynamic Bayesian networks is used to rebuild the conventional federated Kalman filter. And a kind of active and dynamic information fusion and optimization method for multisensor systems under high dynamic situation is proposed. The simulation results show the high dynamic flexibility and fault-tolerant ability of the proposed method.

AB - In order to improve the fault-tolerant and dynamic optimization capability of the information fusion method for multisensor system, the theory of dynamic Bayesian networks is used to rebuild the conventional federated Kalman filter. And a kind of active and dynamic information fusion and optimization method for multisensor systems under high dynamic situation is proposed. The simulation results show the high dynamic flexibility and fault-tolerant ability of the proposed method.

KW - Active and dynamic information fusion

KW - Dynamic Bayesian networks

KW - Dynamic optimization

KW - Fault-tolerant

UR - https://www.scopus.com/pages/publications/70350605589

M3 - 文章

AN - SCOPUS:70350605589

SN - 1001-0920

VL - 24

SP - 1340-1344+1350

JO - Kongzhi yu Juece/Control and Decision

JF - Kongzhi yu Juece/Control and Decision

IS - 9

ER -

Multi-sensor information fusion method based on dynamic Bayesian networks

Abstract

Keywords

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