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

Active-testing surveillance for multiple target detection with composite hypotheses

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

2 Author(s)
Boggio, L.A. ; Dept. of Electr. & Syst. Eng., Washington Univ., DC, USA ; Fuhrmann, D.R.

We consider a multiple target detection problem in which there are N target sites, or cells, which can be energized independently, while the total energy available is finite. In the specific model used here, the data are conditionally Poisson, with the mean being the product of the transmitted energy and the gamma distributed reflectivity. A Bayesian sequential analysis procedure for target detection is proposed and strategies for partitioning the available energy at each iteration are compared.

Published in:

Statistical Signal Processing, 2003 IEEE Workshop on

Date of Conference:

28 Sept.-1 Oct. 2003

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.