Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). We apologize for the inconvenience.
By Topic

Application of the HHT method to the airport fiber fence warning

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)
Jiang Li-hui ; Coll. of Electron. & Inf. Eng., CAUC, Tianjin, China ; Liu Xiang-ming ; Yang Ruo-yu

For the airport fiber fence warning system has high false alarm rate, an method to identify invaders accurately is needed urgently at present,. To address the issue, a recognition algorithms using neural network base on the Hilbert-Huang Transform was proposed. Firstly, the common intrusion signals around the airport were decomposed into a set of intrinsic mode function (IMF) using EMD, then the Hilbert transform is applied to each IMF, and the feature is more clearly exhibited by the marginal spectrum. Finally, BP neural network is used to identify the invasion behavior by marginal spectrum. Experiments show that, the accuracy rate based on the method proposed here is more than 95%.

Published in:

Electronics, Communications and Control (ICECC), 2011 International Conference on

Date of Conference:

9-11 Sept. 2011