By Topic

Optimum sensor placement for localization under log-normal shadowing

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
$33 $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)
Soura Dasgupta ; Department of Electrical and Computer Engineering, University of Iowa, 52242, USA ; Stella-Rita C. Ibeawuchi ; Zhi Ding

In source localization one estimates the location of a source using a variety of relative position information. Such relative position information is often provided by the received signal strength (RSS) which is in turn affected by log normal shadowing. This paper considers optimal sensor placement in two dimensions so that a source can be localized optimally from the RSS at various non-collinear sensors. We assume that the source to be localized is uniformly distributed in a circle. The goal is to optimally place sensors outside a larger concentric circle, by maximizing the smallest eigenvalue or the determinant of the expectation of an underlying Fisher Information matrix, or minimizing the trace of its inverse. We show that optimality is achieved if and only if the the expected value of the FIM is a scaled identity, and provide methods for achieving this condition.

Published in:

Communications and Information Technologies (ISCIT), 2010 International Symposium on

Date of Conference:

26-29 Oct. 2010