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

Fast Adaptive Acoustic Localization for Sensor 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

2 Author(s)
Vakulya, G. ; Dept. of Comput. Sci. & Syst. Technol., Univ. of Pannonia, Veszprém, Hungary ; Simon, G.

Sensor networks have proven their usefulness in various acoustic localization applications. Recently, a consistency-function-based algorithm has been proposed, which can provide accurate solutions even if a large number of independent outliers are present in a measurement set. In certain practical cases, e.g., in non-line-of-sight reverberant areas, however, sensors may have cooperative and consistent errors, resulting in bad estimates. In this paper, an adaptive consistency-function-based solution is proposed, which can compensate for cooperative and systematic measurement errors and thus provides accurate results even if the original consistency-function-based algorithm fails. Stochastic initialization is also proposed, which is able to accelerate execution of the algorithm by several orders of magnitude while the global optimum is still provided with arbitrarily high probability.

Published in:

Instrumentation and Measurement, IEEE Transactions on  (Volume:60 ,  Issue: 5 )

Date of Publication:

May 2011

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.