We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Application of Wavelet Transform to Radio Fuze Jamming Identification

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

4 Author(s)
Li Yue-qin ; Sch. of Aerosp. Sci. & Eng., Beijing Inst. of Technol., Beijing ; Li Ping ; Yan Xiao-peng ; Chen Huimin

The signal singularity of radio fuze reflects it be affected by surroundings. Since typical Fourier Transform Algorithm is difficult to detect the position of singularity and its distribution, a more accurate oriented method of signal singularity has been presented based on Wavelet Transform Algorithm. Simulation experiment for jamming identification of radio fuze has been conducted under this method. It showed that Wavelet technology can identify the jamming signal effectively and realize singularity accurate localization for the radio fuze. By this way, the anti-interference capability of the radio fuze has been improved sharply.

Published in:

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Date of Conference:

12-14 Oct. 2008