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

Spatio-Temporal Diffusion Strategies for Estimation and Detection Over Networks

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

4 Author(s)
Jae-Woo Lee ; Div. of Electr. Eng., Pohang Univ. of Sci. & Technol. (POSTECH), Pohang, South Korea ; Seong-Eun Kim ; Woo-Jin Song ; Sayed, A.H.

We present diffusion algorithms for distributed estimation and detection over networks that endow all nodes with both spatial cooperation abilities and temporal processing abilities. Each node in the network is allowed to share information locally with its neighbors; this step amounts to sharing and processing of spatial data. At the same time, each node is allowed to after and process past estimates to improve estimation accuracy through an overall collaborative process. In this manner, the resulting distributed algorithms consist of three stages: adaptation, spatial processing, and temporal processing. Moreover, the order of these three stages can be interchanged leading to a total of six variations. The results indicate that whether temporal processing is performed before or after adaptation, the strategy that performs adaptation before spatial cooperation leads to smaller mean-square error. The additional temporal processing step is useful in combating perturbations due to noise over the communications links. We further describe an application in the context of distributed detection and provide computer simulations to illustrate and support the findings.

Published in:

Signal Processing, IEEE Transactions on  (Volume:60 ,  Issue: 8 )

Date of Publication:

Aug. 2012

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.