Analysis of multicomponent LFM signals by Teager-Huang-Hough Transform
Résumé
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.
Mots clés
LFM signals
Hough tranform
Teager-Huang-Hough transform
Empirical mode decomposition
Energy separation algorithm
AM-FM model
Multicomponent signals
Teager-Kaiser operator
Neyman-Pearson test
Teager-Huang transform
Signaux à modulation de fréquence linéaire
transformée de Hough
Transformée de Teager-Huang-Hough
Décomposition modale empirique
Algorithme de séparation d'énergie
Modèle AM-FM
Signaux multicomposante
Opérateur de Teager-Kaiser
Test de Neyman-Pearson
Transformée de Teager-Huang
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