Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 6, Issue: 11)
Article Information:

Covariance Intersection Kalman Fuser for Two-sensor System with Time-delayed Measurements

Peng Zhang and Zi-Li Deng
Corresponding Author:  Zi-Li Deng 

Key words:  Consistency, covariance intersection fusion, information fusion kalman fuser, time-delayed measurement, unknown cross-covariance, ,
Vol. 6 , (11): 1963-1969
Submitted Accepted Published
December 14, 2012 January 11, 2013 July 25, 2013
Abstract:

For a two-sensor linear discrete time-invariant stochastic system with time-delayed measurements, by the measurement transformation method, an equivalent system without measurement delays is obtained and then using the Covariance Intersection (CI) fusion method, the covariance intersection steady-state Kalman fuser is presented. It can handle the estimation fusion problem between local estimation errors for the system with unknown cross-covariances and avoid a large computed burden and computational complexity of cross-covariances. It is proved that its accuracy is higher than that of each local estimator and is lower than that of optimal Kalman fuser weighted by matrices with known cross-covariances. A Monte-Carlo simulation example shows the above accuracy relation and indicates that its actual accuracy is close to that of the Kalman fuser weighted by matrices, hence it has good performances.
Abstract PDF HTML
  Cite this Reference:
Peng Zhang and Zi-Li Deng, 2013. Covariance Intersection Kalman Fuser for Two-sensor System with Time-delayed Measurements.  Research Journal of Applied Sciences, Engineering and Technology, 6(11): 1963-1969.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved