Analysis of multicomponent LFM signals by Teager-Huang-Hough Transform
hal.structure.identifier | Institut de Recherche de l'Ecole Navale [IRENAV] | |
dc.contributor.author | BOUCHIKHI, Abdelkhalek | |
hal.structure.identifier | Institut de Recherche de l'Ecole Navale [IRENAV] | |
dc.contributor.author | BOUDRAA, Abdelouahab | |
hal.structure.identifier | École Nationale Supérieure de Techniques Avancées Bretagne [ENSTA Bretagne] | |
dc.contributor.author | CEXUS, Jean-Christophe | |
hal.structure.identifier | Département Signal et Communications [SC] | |
dc.contributor.author | CHONAVEL, Thierry | |
dc.date.accessioned | 2021-05-14T09:58:52Z | |
dc.date.available | 2021-05-14T09:58:52Z | |
dc.date.issued | 2014-04 | |
dc.identifier.issn | 0018-9251 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/77984 | |
dc.description.abstractEn | 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. | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers | |
dc.subject | Transformée de Teager-Huang | |
dc.subject | Test de Neyman-Pearson | |
dc.subject | Opérateur de Teager-Kaiser | |
dc.subject | Signaux multicomposante | |
dc.subject | Modèle AM-FM | |
dc.subject | Algorithme de séparation d'énergie | |
dc.subject | Décomposition modale empirique | |
dc.subject | LFM signals | |
dc.subject | Hough tranform | |
dc.subject | Teager-Huang-Hough transform | |
dc.subject | Empirical mode decomposition | |
dc.subject | Energy separation algorithm | |
dc.subject | AM-FM model | |
dc.subject | Multicomponent signals | |
dc.subject | Teager-Kaiser operator | |
dc.subject | Neyman-Pearson test | |
dc.subject | Teager-Huang transform | |
dc.subject | Signaux à modulation de fréquence linéaire | |
dc.subject | transformée de Hough | |
dc.subject | Transformée de Teager-Huang-Hough | |
dc.title.en | Analysis of multicomponent LFM signals by Teager-Huang-Hough Transform | |
dc.type | Article de revue | |
dc.identifier.doi | 10.1109/TAES.2014.120202 | |
dc.subject.hal | Sciences de l'ingénieur [physics]/Traitement du signal et de l'image | |
bordeaux.journal | IEEE Transactions on Aerospace and Electronic Systems | |
bordeaux.page | 1222-1233 | |
bordeaux.volume | 50 | |
bordeaux.hal.laboratories | Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295 | * |
bordeaux.issue | 2 | |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.institution | INRAE | |
bordeaux.institution | Arts et Métiers | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-01083647 | |
hal.version | 1 | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-01083647v1 | |
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