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

Novel Detection Method for Multi-component LFM Signals

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)
Guo Qiang ; Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China ; Li Ya-jun ; Wang Chang-hong ; Cao He-yang

Multi-components Linear Frequency-Modulated (LFM) signal of emitter recognition is everywhere in signal environments in practice, it is important to recognize it for electronic intelligence. To effectively detect and recognize multi-component LFM emitter signals, a new emitter signal analysis method based on the complex Independent Component Analysis(ICA), second-order time moments and Wigner-Hough transform(WHT) (ISW) was proposed. The idea which was adopted to this method was the time-domain separation, the LFM signal and noise discrimination and time frequency analysis. In the low SNR cases, the problem which is generally plagued by noised of feature extraction of multicomponent LFM signal based on Wigner-Hough transform is overcome. Compared to the traditional method of time frequency analysis, the computer simulation results show that the proposed method for the multi-component LFM signal separation and feature extraction was better.

Published in:

Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on

Date of Conference:

17-19 Sept. 2010