Application of wavelet transform to radio fuze jamming identification

Yue Qin Li*, Ping Li, Xiao Peng Yan, Huimin Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

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 thchnology 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.

Original languageEnglish
Title of host publication2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
DOIs
Publication statusPublished - 2008
Event2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008 - Dalian, China
Duration: 12 Oct 200814 Oct 2008

Publication series

Name2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008

Conference

Conference2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
Country/TerritoryChina
CityDalian
Period12/10/0814/10/08

Keywords

  • Jamming identification
  • Radio fuze
  • Singularity
  • Wavelet transform

Fingerprint

Dive into the research topics of 'Application of wavelet transform to radio fuze jamming identification'. Together they form a unique fingerprint.

Cite this