Cart (Loading....) | Create Account
Close category search window
 

Information fusion steady-state white noise deconvolution estimators

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Sun Xiaojun ; Dept. of Autom., Univ. of Heilongjiang, Harbin ; Wang Shigang ; Deng Zili

White noise deconvolution or input white noise estimation problem has important application backgrounds in oil seismic exploration, communication and signal processing. Using the modern time series analysis method, based on the autoregressive moving average (ARMA) innovation model and the optimal fusion rules in linear minimum variance sense, the new information fusion white noise deconvolution estimators are presented for the general multisensor systems with different local dynamic models and correlated noises, respectively. They can handle the input white noise fused filtering, prediction and smoothing problems, and are applicable for the systems with colored measurement noises. It is locally optimal and globally suboptimal. The accuracy of the fuser is higher than that of each local white noise estimator. In order to compute the optimal weights, the formula of computing the local estimation error cross-covariances is given. A Monte Carlo simulation example for the system with Bernoulli-Gaussian input white noise shows their effectiveness and performances.

Published in:

Control Conference, 2008. CCC 2008. 27th Chinese

Date of Conference:

16-18 July 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.