By Topic

A modified PDAF based on a Bayesian detector

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

3 Author(s)
Willett, P. ; Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA ; Ruixin Niu ; Bar-Shalom, Y.

Practical detection systems generally are operated using a fixed threshold, optimized to the Neyman-Pearson criterion. An alternative is Bayes detection, in which the threshold varies according to the ratio of prior probabilities. This prior information is available in a tracking situation, but appears little used. The effect here is of a depressed detection threshold near the predicted measurement. We explain the appropriate modification to the commonly used probabilistic data association and tracking filter (PDAF). The implementation is simple, and the performance is remarkably good, and a considerable advantage with respect to the fixed-threshold PDAF is observed

Published in:

American Control Conference, 2000. Proceedings of the 2000  (Volume:4 )

Date of Conference:

2000