Earticle

초록

영어

Multisensor distributed information fusion state estimator is presented in this paper. The algorithm deals with descriptor and non descriptor discrete time time-invariant stochastic linear system which is described by state space model. Under the assumption of the observability of the system, the state of the system is a linear combination of input white noise, observation white noise and observation signal. Further non-recursive state estimators algorithm is presented, which can be computed by the white noise estimators and measurement predictor. In order to improve the accuracy of the state estimator, this paper presents information fusion algorithm including matrix weighted, diagonal matrices weighted, scalar weighted and covariance intersection fusion, in the sense of linear minimum variance. The formula of optimal weighting coefficients is given. The algorithm analyzes the relationship between the accuracy and the computation of the four fusion algorithm. A simulation example for non descriptor system with 3 sensors shows its correctness and effectiveness.

목차

Abstract
 1. Introduction
 2. Problem Formulation
 3. ARMA Innovation Model
 4. Non-recursive Local Optimal State Estimator
 5. Distributed Information Fusion Optimal State Estimator
 6. Simulation Example
 7. Conclusions
 Acknowledgements
 References

키워드

저자

• Yun Li [ School of Computer and Information Engineering Harbin University of Commerce HeiLongJiang, Harbin, 150001, China, Electronic Engineering Institute Heilongjiang University Heilongjiang, Harbin, 150080, China ]
• Ming Zhao [ School of Computer and Information Engineering Harbin University of Commerce HeiLongJiang, Harbin, 150001, China ]
• Gang Hao [ Electronic Engineering Institute Heilongjiang University Heilongjiang, Harbin, 150080, China ] Corresponding author
• Junling Li [ School of Computer and Information Engineering Harbin University of Commerce HeiLongJiang, Harbin, 150001, China ]
• Hao Jin [ School of Computer and Information Engineering Harbin University of Commerce HeiLongJiang, Harbin, 150001, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605