By Topic

Identification friend-or-foe (IFF) sensor uncertainties, ambiguities, deception and their application to the multi-source fusion process

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)
Schuck, T.M. ; Lockheed Martin Naval Electron. & Surveillance Syst., Moorestown, NJ, USA ; Shoemaker, B. ; Willey, J.

The importance of quantifying and modeling sensor uncertainties associated with kinematic, attribute, and hybrid sensors and their effect on the data fusion process (Bayesian, Dempster-Shafer, etc.) has not been well described. This paper explores some of the characteristics and uncertainties associated with MK XII Identification Friend-or-Foe (IFF) including its limitations, inherent error sources, and robustness to jamming and interference. A general multi-source sensor fusion process is described using Non-Cooperative Target Recognition, electronic support measures and IFF dissimilar source inputs with specific attention placed on realizable IFF sensor systems and how they need to be characterized in order to understand and design an optimized and effective multi-source fusion process

Published in:

National Aerospace and Electronics Conference, 2000. NAECON 2000. Proceedings of the IEEE 2000

Date of Conference: