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

Necessary conditions for optimum distributed sensor detectors under the Neyman-Pearson criterion

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

1 Author(s)
Blum, R.S. ; Dept. of Electr. Eng. & Comput. Sci., Lehigh Univ., Bethlehem, PA, USA

Distributed signal detection schemes that are optimum under the Neyman-Pearson criterion continue to be of interest. The functional forms of these schemes can be difficult to specify, especially for cases with dependent observations from sensor to sensor. For cases with dependent observations from sensor to sensor, the optimum sensor test statistics are generally not the likelihood ratios of the sensor observations. Equations expressing the forms of the optimum sensor test statistics in terms of the other optimum test statistics and the optimum fusion rule are given. Detailed proofs of these results are given in this correspondence and have not been given previously. In some communication, radar, and sonar system problems the amplitude of the received signal may be unknown, but the signal may be known to be weak. Equations expressing the forms of the optimum sensor test statistics for such cases are given. These expressions have already been shown to be useful for interpreting and finding optimum distributed detection schemes, but detailed proofs of the type given here have not yet been given

Published in:

Information Theory, IEEE Transactions on  (Volume:42 ,  Issue: 3 )

Date of Publication:

May 1996

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.