Earticle

초록

영어

The distributed fusion filtering problem is studied for multi-rate sampling stochastic singular linear systems with multiple sensors and stochastic multiplicative noises. The system is described at the highest sampling rate and different sensors may have different lower sampling rates. The white noise in measurement matrix is introduced to describe the stochastic disturbance. Firstly, based on decomposition in canonical form, the original singular system is transformed into fast and slow two subsystems. For the two reduced-order subsystems, the local filters (LFs) are given based on the “dummy” random variables. The cross-covariance matrices between any two local filtering errors are derived. Further, the distributed fusion filter weighted by matrices (FFWM) is obtained for the original singular system based on the well-known fusion algorithm in the linear minimum variance sense. Simulation example verifies the correctness and feasibility of the proposed algorithm.

목차

Abstract
 1. Introduction
 2. Problem Formulation
 3. Distributed FFWM
  3.1. Local filter
  3.2. Fusion filter
 4. Simulation results
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Hao Jin [ School of Computer and Information Engineering, Harbin University of Commerce, Harbin 150028, China ]
• Jing Ma [ School of Mathematics Science, Heilongjiang University, Harbin 150080, China ] Corresponding author
• Yun Li [ School of Computer and Information Engineering, Harbin University of Commerce, Harbin 150028, China ]
• Ming Zhao [ School of Computer and Information Engineering, Harbin University of Commerce, Harbin 150028, 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