Earticle

초록

영어

This paper is concerned with the information fusion filtering problem for a class of multi-rate multi-sensor systems, where the system is described at the highest sampling rate and different sensors may have different lower sampling rates. Firstly, the local filters (LFs) at state updating points are proposed by using the LFs at measurement sampling points. Then, the distributed suboptimal fusion filter is obtained by the well-known covariance intersection fusion (CIF) algorithm. The filtering error variance matrices are derived to obtain the fusion weights. The computational cost is reduced since the cross-covariance matrices between any two local filters are avoided. Simulation example verifies the correctness and feasibility of the proposed algorithm.

목차

Abstract
 1. Introduction
 2. Problem Formulation
 3. Distributed Information Filter
  3.1. Local Filter
  3.2. Fusion Filter
 4. Simulation Results
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Jing Ma [ School of Mathematics Science, Heilongjiang University, Harbin 150080, China ]
• Hao Jin [ School of Computer and Information Engineering, Harbin University of Commerce, Harbin 150028, China ]
• Tian Tian [ Department of Foreign Languages Teaching and Research, Heilongjiang University, Harbin 150080, China ]
• Wei Zhang [ School of Mathematics Science, Heilongjiang University, Harbin 150080, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605