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

High-performance embedded computing for Conventional Matched-Field Processing

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)
Kim, K. ; Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL, USA ; George, A.

Advanced sonar algorithms with complex-wave propagation processing are of critical importance in the field of acoustic signal processing, as they possess the ability to localize signal sources more precisely in a cluttered environment. Conventional Matched-Field Processing (CMFP) is such an algorithm that provides range and depth results by employing environmental parameters. However, the enhancement of features is limited by the extensive computational and memory requirements of the algorithm even for a small problem size. High-performance computing, when applied to matched-field processing on a microprocessor-based distributed system, can provide solutions for this challenging problem in performance, scalability, and cost. Based on domain decomposition techniques, two parallel algorithms for matched-field processing are introduced in this paper for in-situ signal processing. Performance results collected on low-power distributed embedded systems are presented in terms of execution times and parallel efficiencies. The results of these analyses demonstrate that parallel in-situ processing holds the potential to meet the needs of matched-field processing in a scalable fashion.

Published in:

Performance, Computing, and Communications Conference, 2003. Conference Proceedings of the 2003 IEEE International

Date of Conference:

9-11 April 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.