Détail de l'auteur
Auteur Toufik Laroussi |
Documents disponibles écrits par cet auteur (6)
Affiner la recherche Interroger des sources externesDétection adaptative CFAR de cibles CHI-Square corrélées à plusieurs degrés de liberté en présence d'un fouillis Rayleigh corrélé / Toufik Laroussi
Titre : Détection adaptative CFAR de cibles CHI-Square corrélées à plusieurs degrés de liberté en présence d'un fouillis Rayleigh corrélé Type de document : texte imprimé Auteurs : Toufik Laroussi ; Univ. de Constantine, Éditeur scientifique ; Malek Benslama, Directeur de thèse Année de publication : 2006 Importance : 119 f. Note générale : 01 Disponible à la salle de recherche 02 Disponibles au magazin de la B.U.C. Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Radar Détection adaptative CFAR Détecteur CFAR Cible chi-square Détecteur ML-CFAR Index. décimale : 621 Electronique En ligne : ../theses/electronique/LaR4437.pdf Permalink : index.php?lvl=notice_display&id=2750 Détection adaptative CFAR de cibles CHI-Square corrélées à plusieurs degrés de liberté en présence d'un fouillis Rayleigh corrélé [texte imprimé] / Toufik Laroussi ; Univ. de Constantine, Éditeur scientifique ; Malek Benslama, Directeur de thèse . - 2006 . - 119 f.
01 Disponible à la salle de recherche 02 Disponibles au magazin de la B.U.C.
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Radar Détection adaptative CFAR Détecteur CFAR Cible chi-square Détecteur ML-CFAR Index. décimale : 621 Electronique En ligne : ../theses/electronique/LaR4437.pdf Permalink : index.php?lvl=notice_display&id=2750 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité LAR/4437 LAR/4437 Thèse Bibliothèque principale Thèses Disponible
Titre : Détection CFAR en Milieux Non-Gaussiens Corrélés Type de document : texte imprimé Auteurs : Souad Chabbi, Auteur ; Toufik Laroussi, Directeur de thèse Editeur : constantine [Algérie] : Université Constantine 1 Année de publication : 2015 Importance : 130 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Censure automatique bilatérale censure à point(s) fixe(s) seuil adaptatif biparamétrique linéaire estimateurs BLU détection CFAR censure CFCR clutter Log-normal clutter Weibull distribution Normale distribution Gumbel Dual or Bilateral automatic censoring fixed-point(s) censoring Linear biparametric
adaptive threshold BLU Estimators CFAR detection CFCR censuring Log-normal clutter Weibull clutter Normal distribution Gumbel distribution "بتو أحتوماتيكي ثنائي بتو ذح نقط )نقاطر( ثابت عتب متكيف ثنائي خطي تقديوات Normal توزيع Weibull ضوضاء Log-normal ضوضاء CFCR بتو CFAR كشف BLU
Gumbel توزيعIndex. décimale : 621 Electronique Résumé : In this PhD Thesis, we address the problem of lower and upper automatic censoring of unwanted samples from a rank ordered data of reference cells, i.e., bilateral or dual automatic censoring, and target detection with Constant False Censoring and Alarm Rates (CFCAR). Assuming a spatially correlated non-Gaussian clutter with no prior knowledge about the presence or not of any clutter edge and/or interfering targets in the reference window, we propose and analyze the
censoring and detection performances of the Dual Automatic Censoring Best Linear Unbiased (DACBLU) CFCAR mono-pulse processor in homogeneous and heterogeneous Log-normal or Weibull spatially correlated clutter. In doing this, we first introduce existing techniques of generating correlated Normal, Log-normal and Weibull random vectors. The cfcarness property is guaranteed by use of linear biparametric adaptive thresholding. That is, we introduce a logarithmic amplifier, and determine the unknown parameters of the transformed distribution through the Best Linear Unbiased Estimators (BLUEs) known to be faster than the ML (Maximum Likelihood) estimators. The Censoring algorithm starts up by considering the two most left ranked cells and proceeds forward. The selected homogeneous set is used to estimate
the unknown background level. To assess the efficiency of the proposed processor, we compare its performances, first to its corresponding BLU-CFAR, i.e., fixed-point(s) censoring detector, then to detectors based on diverse unilateral automatic censoring techniques found in the literature.
Diplôme : Doctorat en sciences En ligne : ../theses/electronique/CHA6656.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=9957 Détection CFAR en Milieux Non-Gaussiens Corrélés [texte imprimé] / Souad Chabbi, Auteur ; Toufik Laroussi, Directeur de thèse . - constantine [Algérie] : Université Constantine 1, 2015 . - 130 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Censure automatique bilatérale censure à point(s) fixe(s) seuil adaptatif biparamétrique linéaire estimateurs BLU détection CFAR censure CFCR clutter Log-normal clutter Weibull distribution Normale distribution Gumbel Dual or Bilateral automatic censoring fixed-point(s) censoring Linear biparametric
adaptive threshold BLU Estimators CFAR detection CFCR censuring Log-normal clutter Weibull clutter Normal distribution Gumbel distribution "بتو أحتوماتيكي ثنائي بتو ذح نقط )نقاطر( ثابت عتب متكيف ثنائي خطي تقديوات Normal توزيع Weibull ضوضاء Log-normal ضوضاء CFCR بتو CFAR كشف BLU
Gumbel توزيعIndex. décimale : 621 Electronique Résumé : In this PhD Thesis, we address the problem of lower and upper automatic censoring of unwanted samples from a rank ordered data of reference cells, i.e., bilateral or dual automatic censoring, and target detection with Constant False Censoring and Alarm Rates (CFCAR). Assuming a spatially correlated non-Gaussian clutter with no prior knowledge about the presence or not of any clutter edge and/or interfering targets in the reference window, we propose and analyze the
censoring and detection performances of the Dual Automatic Censoring Best Linear Unbiased (DACBLU) CFCAR mono-pulse processor in homogeneous and heterogeneous Log-normal or Weibull spatially correlated clutter. In doing this, we first introduce existing techniques of generating correlated Normal, Log-normal and Weibull random vectors. The cfcarness property is guaranteed by use of linear biparametric adaptive thresholding. That is, we introduce a logarithmic amplifier, and determine the unknown parameters of the transformed distribution through the Best Linear Unbiased Estimators (BLUEs) known to be faster than the ML (Maximum Likelihood) estimators. The Censoring algorithm starts up by considering the two most left ranked cells and proceeds forward. The selected homogeneous set is used to estimate
the unknown background level. To assess the efficiency of the proposed processor, we compare its performances, first to its corresponding BLU-CFAR, i.e., fixed-point(s) censoring detector, then to detectors based on diverse unilateral automatic censoring techniques found in the literature.
Diplôme : Doctorat en sciences En ligne : ../theses/electronique/CHA6656.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=9957 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité CHA/6656 ِCHA/6656 Thèse Bibliothèque principale Thèses Disponible
Titre : Détection CFAR en Milieux Non-Gaussiens Inhomogènes Type de document : texte imprimé Auteurs : Sofiane Benzeroug, Auteur ; Toufik Laroussi, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2016 Importance : 66 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Censure automatique bilatérale censure à point(s) fixe(s) détection CFAR censure
CFCR clutter Log-normal clutter Weibull distribution Gumbel Dual or Bilateral automatic censoring fixed-point(s) censoring CFAR detection CFCR censuring Log-normal clutter Weibull clutter Gumbel distributionIndex. décimale : 621 Electronique Résumé : In this Master’s thesis, we deal with the improvement of the performance of the CFAR (Constant
False Alarm Rate) detection of a Swerling I type target embedded in an inhomogeneous Weibull
or Log-normal clutter with unknown parameters. We assume that the reference window may
contain a clutter edge, with an unknown position, partitioning the reference window into two sets
of IID (independent and identically distributed) Weibull or Log-normal samples each but with
different powers. In doing this, we analyze and compare two techniques of automatic localization
of a clutter edge position [1-3] whose goal is the automatic censoring of the unwanted samples of
either smaller or greater power. To this end, in the first technique [1], a logarithmic amplifier is
necessarily introduced; i.e., the Weibull and Log-normal distributions are reduced, respectively,
to a Gumbel and Normal distributions. In the second, however, technique found in [2, 3], the
samples should first be sorted in an ascending order. Finally, to estimate the clutter level and
decide the presence or the absence of the primary target, the selected homogeneous set yielded
by each technique is incorporated in one of the suitable CFAR detectors found in the radar
literature. More precisely, the CFAR detector should perform two tasks (algorithms); censoring
and CFAR detection. Indeed, the virtue of the automatic censoring detector is the considerable
improvement of detection performance over the corresponding detector, i.e., fixed point
censoring detector. To assess the efficiency of the censoring and detection of each improved
detector, we compare it in different scenarios, through Monte Carlo simulations, with its
corresponding fixed point censoring detector. The obtained results show that both exhibit the
same performance in a homogeneous clutter; however the former significantly outperforms the
latter in the presence of a clutter edge within the reference window.
Diplôme : Magistère En ligne : ../theses/electronique/BEN6946.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=10323 Détection CFAR en Milieux Non-Gaussiens Inhomogènes [texte imprimé] / Sofiane Benzeroug, Auteur ; Toufik Laroussi, Directeur de thèse . - جامعة الإخوة منتوري قسنطينة, 2016 . - 66 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Censure automatique bilatérale censure à point(s) fixe(s) détection CFAR censure
CFCR clutter Log-normal clutter Weibull distribution Gumbel Dual or Bilateral automatic censoring fixed-point(s) censoring CFAR detection CFCR censuring Log-normal clutter Weibull clutter Gumbel distributionIndex. décimale : 621 Electronique Résumé : In this Master’s thesis, we deal with the improvement of the performance of the CFAR (Constant
False Alarm Rate) detection of a Swerling I type target embedded in an inhomogeneous Weibull
or Log-normal clutter with unknown parameters. We assume that the reference window may
contain a clutter edge, with an unknown position, partitioning the reference window into two sets
of IID (independent and identically distributed) Weibull or Log-normal samples each but with
different powers. In doing this, we analyze and compare two techniques of automatic localization
of a clutter edge position [1-3] whose goal is the automatic censoring of the unwanted samples of
either smaller or greater power. To this end, in the first technique [1], a logarithmic amplifier is
necessarily introduced; i.e., the Weibull and Log-normal distributions are reduced, respectively,
to a Gumbel and Normal distributions. In the second, however, technique found in [2, 3], the
samples should first be sorted in an ascending order. Finally, to estimate the clutter level and
decide the presence or the absence of the primary target, the selected homogeneous set yielded
by each technique is incorporated in one of the suitable CFAR detectors found in the radar
literature. More precisely, the CFAR detector should perform two tasks (algorithms); censoring
and CFAR detection. Indeed, the virtue of the automatic censoring detector is the considerable
improvement of detection performance over the corresponding detector, i.e., fixed point
censoring detector. To assess the efficiency of the censoring and detection of each improved
detector, we compare it in different scenarios, through Monte Carlo simulations, with its
corresponding fixed point censoring detector. The obtained results show that both exhibit the
same performance in a homogeneous clutter; however the former significantly outperforms the
latter in the presence of a clutter edge within the reference window.
Diplôme : Magistère En ligne : ../theses/electronique/BEN6946.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=10323 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité BEN/6946 BEN/6946 Thèse Bibliothèque principale Thèses Disponible
Titre : Estimation et détection des signaux radar pour la surveillance maritime. Type de document : texte imprimé Auteurs : Ali Mehanaoui, Auteur ; Toufik Laroussi, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2020 Importance : 168 f. Format : 30 cm. Note générale : Doctorat 3éme CYCLE LMD.
1 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Télécommunications:Signaux et Systèmes de Télécommunications Détection CFCAR Détection CFAR Détection CFCR Clutter Pareto Estimation des paramètres Censure automatique Commutation automatique CFCAR detection CFAR detection CFCR detection Pareto clutter Parameters
estimation Automatic censoring Automatic switching تقدير الوسائط الحذف التلقائي Pareto تشويش CFAR نظام الكشف CFCAR نظام الكشف التبديل التلقائيIndex. décimale : 621 Electronique Résumé : Appropriate techniques for radar signal processing operating in a maritime environment may be substantially enhanced through a deep understanding of the direct target and sea surface backscatters. These latter are usually referenced as sea clutter, inevitably encountered during the detection process. Except for a few applications, sea clutter represents the unwanted part of the retransmitted signal which may be harmful to target detection. It is shown through the analysis of real maritime data that the intensity properties of HRR (High Resolution Radar) backscatters can be represented by the non-Gaussian model of the Pareto distribution, which has the characteristic of having a simple and powerful mathematical model compared to a wide range of techniques from other long-tailed distributions. In our thesis, we are interested in studying data modeled by the thermal noise free Pareto distribution. Our work is divided into two main parts. The first deals with the study of parameter estimation using the VSE (V-Statistic Estimator) and the USE (U-Statistic Estimator), based on the fractional negative and positive order moments, and the COSE (Consecutive Order Statistic Estimator), based on a consecutive order statistic technique of the Pareto distribution modeling the maritime clutter, in which the target is embedded. The second considers HRR target detection through adaptive threshold and CFAR (Constant False Alarm Rate) algorithms, by exploiting a combination of samples collected from both sides of a target. In this context, the twofold ACD-CFCAR (Automatic Censoring-Constant False Censoring and Alarm Rates) processor; that is, automatic censoring and detection, the EVI-ASDCFAR (Enhanced Variability Index- Automatic Selection Detector-Constant False Alarm Rate) and the PI-CFAR (Pietra Index-CFAR) intelligent processor which achieves automatic switching between several detectors, i.e., GM- (Geometric Mean-), GO (Greatest Of-) or TM (Trimmed Mean- CFAR), are proposed. In doing this, we treat, through Monte Carlo simulations, the problem of the best possible detection performance of Swerling I type targets embedded in a Pareto clutter. The results are such as the ACD-CFAR detector exhibits good censoring and detection performances in multiple target situations because, each time, it censures the exact number of interfering targets comparatively to the conventional TM-CFAR whose performance relies upon the a priori known environment. Then, we introduce automatic target detection in homogeneous and heterogeneous Pareto clutter. To this end, we develop the EVI-ASD-CFAR processor. In effect, in an attempt to use the VI (Variability Index) as a clutter discriminator, we examine this processor in the presence of multiple targets. A dynamic selection of the appropriate detector among the GM-CFAR family or the TM-CFAR detector is carried out through the Pareto-exponential duality relation, and a switching logic based on the VI and MR Diplôme : Doctorat En ligne : ../theses/electronique/MEH7626.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11462 Estimation et détection des signaux radar pour la surveillance maritime. [texte imprimé] / Ali Mehanaoui, Auteur ; Toufik Laroussi, Directeur de thèse . - جامعة الإخوة منتوري قسنطينة, 2020 . - 168 f. ; 30 cm.
Doctorat 3éme CYCLE LMD.
1 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Télécommunications:Signaux et Systèmes de Télécommunications Détection CFCAR Détection CFAR Détection CFCR Clutter Pareto Estimation des paramètres Censure automatique Commutation automatique CFCAR detection CFAR detection CFCR detection Pareto clutter Parameters
estimation Automatic censoring Automatic switching تقدير الوسائط الحذف التلقائي Pareto تشويش CFAR نظام الكشف CFCAR نظام الكشف التبديل التلقائيIndex. décimale : 621 Electronique Résumé : Appropriate techniques for radar signal processing operating in a maritime environment may be substantially enhanced through a deep understanding of the direct target and sea surface backscatters. These latter are usually referenced as sea clutter, inevitably encountered during the detection process. Except for a few applications, sea clutter represents the unwanted part of the retransmitted signal which may be harmful to target detection. It is shown through the analysis of real maritime data that the intensity properties of HRR (High Resolution Radar) backscatters can be represented by the non-Gaussian model of the Pareto distribution, which has the characteristic of having a simple and powerful mathematical model compared to a wide range of techniques from other long-tailed distributions. In our thesis, we are interested in studying data modeled by the thermal noise free Pareto distribution. Our work is divided into two main parts. The first deals with the study of parameter estimation using the VSE (V-Statistic Estimator) and the USE (U-Statistic Estimator), based on the fractional negative and positive order moments, and the COSE (Consecutive Order Statistic Estimator), based on a consecutive order statistic technique of the Pareto distribution modeling the maritime clutter, in which the target is embedded. The second considers HRR target detection through adaptive threshold and CFAR (Constant False Alarm Rate) algorithms, by exploiting a combination of samples collected from both sides of a target. In this context, the twofold ACD-CFCAR (Automatic Censoring-Constant False Censoring and Alarm Rates) processor; that is, automatic censoring and detection, the EVI-ASDCFAR (Enhanced Variability Index- Automatic Selection Detector-Constant False Alarm Rate) and the PI-CFAR (Pietra Index-CFAR) intelligent processor which achieves automatic switching between several detectors, i.e., GM- (Geometric Mean-), GO (Greatest Of-) or TM (Trimmed Mean- CFAR), are proposed. In doing this, we treat, through Monte Carlo simulations, the problem of the best possible detection performance of Swerling I type targets embedded in a Pareto clutter. The results are such as the ACD-CFAR detector exhibits good censoring and detection performances in multiple target situations because, each time, it censures the exact number of interfering targets comparatively to the conventional TM-CFAR whose performance relies upon the a priori known environment. Then, we introduce automatic target detection in homogeneous and heterogeneous Pareto clutter. To this end, we develop the EVI-ASD-CFAR processor. In effect, in an attempt to use the VI (Variability Index) as a clutter discriminator, we examine this processor in the presence of multiple targets. A dynamic selection of the appropriate detector among the GM-CFAR family or the TM-CFAR detector is carried out through the Pareto-exponential duality relation, and a switching logic based on the VI and MR Diplôme : Doctorat En ligne : ../theses/electronique/MEH7626.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11462 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité MEH/7626 MEH/7626 Thèse Bibliothèque principale Thèses Disponible
Titre : "Radar bistatique passif utilisant les ondes FM dédié à la surveillance aérienne" Type de document : texte imprimé Auteurs : Ala eddine Aouane, Auteur ; Toufik Laroussi, Directeur de thèse Editeur : constantine [Algérie] : Université Constantine 1 Année de publication : 2014 Importance : 50 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Radar bistatique passif, radio FM, filtrage adaptatif.
passive bistatic radar, FM radio, adaptive filter.
رادار مزدوج، رادیو ،FM التصفیة التكیفیةIndex. décimale : 621 Electronique Résumé : "In this work, we describe and analyze an example of an experimental passive bistatic
radar system. This PBSR uses echoes from an FM radio transmitter. The study consists of
exploiting Matlab-Simulink tools. In doing this, we first generate and modulate the FM
wave that may be transmitted by a source of opportunity, and then simulate the environment
and the target of interest. To efficiently remove the direct signal interference from
the receiver channels, we make use of an adaptive filter algorithm (NLMS). Then, to enhance
the quality of the received signal, we substitute the conventional matched filter by
a computationally efficient cross-correlation technique. Finally, we use the CA-CFAR detector
to perform target detection. The estimation of the angles of arrival is also discussed"
Diplôme : Magistère En ligne : ../theses/electronique/AOU6562.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=9677 "Radar bistatique passif utilisant les ondes FM dédié à la surveillance aérienne" [texte imprimé] / Ala eddine Aouane, Auteur ; Toufik Laroussi, Directeur de thèse . - constantine [Algérie] : Université Constantine 1, 2014 . - 50 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Radar bistatique passif, radio FM, filtrage adaptatif.
passive bistatic radar, FM radio, adaptive filter.
رادار مزدوج، رادیو ،FM التصفیة التكیفیةIndex. décimale : 621 Electronique Résumé : "In this work, we describe and analyze an example of an experimental passive bistatic
radar system. This PBSR uses echoes from an FM radio transmitter. The study consists of
exploiting Matlab-Simulink tools. In doing this, we first generate and modulate the FM
wave that may be transmitted by a source of opportunity, and then simulate the environment
and the target of interest. To efficiently remove the direct signal interference from
the receiver channels, we make use of an adaptive filter algorithm (NLMS). Then, to enhance
the quality of the received signal, we substitute the conventional matched filter by
a computationally efficient cross-correlation technique. Finally, we use the CA-CFAR detector
to perform target detection. The estimation of the angles of arrival is also discussed"
Diplôme : Magistère En ligne : ../theses/electronique/AOU6562.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=9677 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité AOU/6562 AOU/6562 Thèse Bibliothèque principale Thèses Disponible
Permalink
