Earticle

초록

영어

In this paper, the fusion filtering problem has been investigated for multi-sensor time varying systems with fading measurements, the probabilistic fading phenomenon of which is described by statistical means and variances. A real-time unbiased fusion filtering algorithm has been proposed in the sequential fusion frame. The asynchronous fading measurements are firstly transformed into pseudo fading measurements of the fusion state in the current fusion interval. A novel noise estimation method is presented to deal with the correlations during pseudo measurement noises, which is strictly deduced in the sense of Linear minimum-mean-square error (LMMSE). On this basis, these fading measurements are handled sequentially in their arriving sequence without matrix augmenting. The finial computer simulation demonstrates the effectiveness of the proposed sequential fusion filtering method.

목차

Abstract
 1. Introduction
 2. Problem Formulation
 3. Main Result
  3.1. Pseudo Measurement Transformation
  3.2. Sequential Fusion filtering
 4. Simulation
 5. Conclusions
 Acknowledgment
 References

키워드

저자

• Funa Zhou [ School of Computer and Information Engineering, Henan University, Kaifeng, China ]
• Lan Wu [ College of Electrical Engineering, Henan University of Technology, Zhengzhou, China ]
• Xiaoliang Feng [ College of Electrical Engineering, Henan University of Technology, Zhengzhou, 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