Analysis of multicomponent LFM signals by Teager Huang-Hough transform

A novel detection approach of linear FM (LFM) signals, with single or multiple components, in the time-frequency plane of Teager-Huang (TH) transform is presented. The detection scheme that combines TH transform and Hough transform is referred to as Teager-Huang-Hough (THH) transform. The input sign...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2014-04, Vol.50 (2), p.1222-1233
Main Authors: Bouchikhi, Abdelkhalek, Boudraa, Abdel-Ouahab, Cexus, Jean-Christophe, Chonavel, Thierry
Format: Article
Language:English
Subjects:
Aircraft components
Aircraft detection
Chirp
Electronic systems
Engineering Sciences
Frequency modulation
Hough transforms
Mathematical models
Maximum likelihood estimation
Planes
Recognition
Signal and Image processing
Signal resolution
Time-frequency analysis
Transforms
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A novel detection approach of linear FM (LFM) signals, with single or multiple components, in the time-frequency plane of Teager-Huang (TH) transform is presented. The detection scheme that combines TH transform and Hough transform is referred to as Teager-Huang-Hough (THH) transform. The input signal is mapped into the time-frequency plane by using TH transform followed by the application of Hough transform to recognize time-frequency components. LFM components are detected and their parameters are estimated from peaks and their locations in the Hough space. Advantages of THH transform over Hough transform of Wigner-Ville distribution (WVD) are: 1) cross-terms free detection and estimation, and 2) good time and frequency resolutions. No assumptions are made about the number of components of the LFM signals and their models. THH transform is illustrated on multicomponent LFM signals in free and noisy environments and the results compared with WVD-Hough and pseudo-WVD-Hough transforms.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2014.120202