Information Fusion Estimation for Multisensor Multirate Systems with Multiplicative Noises

2017 ◽  
pp. 253-265
Author(s):  
Shuli Sun ◽  
Jing Ma ◽  
Fangfang Peng
Keyword(s):  
Information Fusion ◽  
Multirate Systems ◽  
Multiplicative Noises

scholarly journals Distributed Fusion Estimation for Multisensor Multirate Systems with Stochastic Observation Multiplicative Noises

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Peng Fangfang ◽  
Sun Shuli
Keyword(s):  
Computational Cost ◽  
Covariance Matrices ◽  
The State ◽  
Multirate Systems ◽  
Multiplicative Noises ◽  
Cross Covariance ◽  
Sampling Points ◽  
Optimal Fusion ◽  
The Cross ◽  
Local Filters

This paper studies the fusion estimation problem of a class of multisensor multirate systems with observation multiplicative noises. The dynamic system is sampled uniformly. Sampling period of each sensor is uniform and the integer multiple of the state update period. Moreover, different sensors have the different sampling rates and observations of sensors are subject to the stochastic uncertainties of multiplicative noises. At first, local filters at the observation sampling points are obtained based on the observations of each sensor. Further, local estimators at the state update points are obtained by predictions of local filters at the observation sampling points. They have the reduced computational cost and a good real-time property. Then, the cross-covariance matrices between any two local estimators are derived at the state update points. At last, using the matrix weighted optimal fusion estimation algorithm in the linear minimum variance sense, the distributed optimal fusion estimator is obtained based on the local estimators and the cross-covariance matrices. An example shows the effectiveness of the proposed algorithms.

Information fusion based interference solution in electronic toll collection system

2013 ◽  
Vol 32 (9) ◽  
pp. 2660-2663
Author(s):  
Liang WANG ◽  
Hua-xiang LU ◽  
Wei-ping JING ◽  
Tian-xiang CHEN
Keyword(s):  
Information Fusion ◽  
Collection System ◽  
Electronic Toll Collection ◽  
Toll Collection

Establishment of Center of Excellence in Multisource Information Fusion

2002 ◽  
Author(s):  
James Llinas ◽  
Chris Brown ◽  
Galina Rogova ◽  
Henry Hexmoor
Keyword(s):  
Information Fusion ◽  
Center Of Excellence

Fault Classification of Hydroelectric Generating Unit Based on Improved Evidence Theory

2014 ◽  
Vol 7 (1) ◽  
pp. 78-83 ◽  
Author(s):  
Jiatang Cheng ◽  
Li Ai ◽  
Zhimei Duan ◽  
Yan Xiong
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Evidence Theory ◽  
Fault Classification ◽  
Fusion Method ◽  
Inconsistent Result ◽  
High Conflict

Aiming at the problem of the conventional vibration fault diagnosis technology with inconsistent result of a hydroelectric generating unit, an information fusion method was proposed based on the improved evidence theory. In this algorithm, the original evidence was amended by the credibility factor, and then the synthesis rule of standard evidence theory was utilized to carry out information fusion. The results show that the proposed method can obtain any definitive conclusion even if there is high conflict evidence in the synthesis evidence process, and may avoid the divergent phenomenon when the consistent evidence is fused, and is suitable for the fault classification of hydroelectric generating unit.

Sign in / Sign up

Export Citation Format

Share Document