Détail de l'auteur
Auteur Faouzi Soltani |
Documents disponibles écrits par cet auteur (7)
Affiner la recherche Interroger des sources externesL’analyse du système d’acquisition multi-porteuse a séquence directe (MC-DS-CDMA) dans un canal rayleigh / Ismahene Ikhlef
Titre : L’analyse du système d’acquisition multi-porteuse a séquence directe (MC-DS-CDMA) dans un canal rayleigh Type de document : texte imprimé Auteurs : Ismahene Ikhlef, Auteur ; Faouzi Soltani, Directeur de thèse Editeur : Constantine : Université Mentouri Constantine Année de publication : 2011 Importance : 96 f. Format : 31 cm Note générale : Doctorat en sciences
2 copies imprimées disponiblesLangues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Electronique Index. décimale : 621 Electronique Diplôme : Doctorat en sciences En ligne : ../theses/electronique/IKH5875.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=5680 L’analyse du système d’acquisition multi-porteuse a séquence directe (MC-DS-CDMA) dans un canal rayleigh [texte imprimé] / Ismahene Ikhlef, Auteur ; Faouzi Soltani, Directeur de thèse . - Constantine : Université Mentouri Constantine, 2011 . - 96 f. ; 31 cm.
Doctorat en sciences
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Electronique Index. décimale : 621 Electronique Diplôme : Doctorat en sciences En ligne : ../theses/electronique/IKH5875.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=5680 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité IKH/5875 IKH/5875 Thèse Bibliothèque principale Thèses Disponible
Titre : Détection adaptative CFAR distribuée utilisant la logique floue et les réseaux Neuro-Flous Type de document : texte imprimé Auteurs : Chehla Alioua, Auteur ; Faouzi Soltani, Directeur de thèse Editeur : Constantine : Université Mentouri Constantine Année de publication : 2011 Importance : 95 f. Format : 31 cm Note générale : Doctorat en sciences
2 copies imprimées disponiblesLangues : Français (fre) Catégories : Français - Anglais
ElectroniqueIndex. décimale : 621 Electronique Diplôme : Doctorat en sciences En ligne : ../theses/electronique/ALI5970.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=5897 Détection adaptative CFAR distribuée utilisant la logique floue et les réseaux Neuro-Flous [texte imprimé] / Chehla Alioua, Auteur ; Faouzi Soltani, Directeur de thèse . - Constantine : Université Mentouri Constantine, 2011 . - 95 f. ; 31 cm.
Doctorat en sciences
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueIndex. décimale : 621 Electronique Diplôme : Doctorat en sciences En ligne : ../theses/electronique/ALI5970.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=5897 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité ALI/5970 ALI5970 Thèse Bibliothèque principale Thèses Disponible
Titre : Détection radar utilisant les fractals et détection des cibles dans des images SAR utilisant des algorithmes de reconstruction des images dans un bruit non gaussien. Type de document : texte imprimé Auteurs : Soumeya Cherouat, Auteur ; Faouzi Soltani, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2018 Importance : 147 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : formation des image SAR dimensionfractale détection radar fractale Image frmation ROS fractal dimension Radar detection fractal تشكيل الصورة الراداري البعد الكسوري كاشف الرادار الهندسة الكسورية Index. décimale : 621 Electronique Résumé : The research work on radar detection has been widely investigated during the last decades. For this, several techniques have been developed to analyze and improve radar detection. However, the difficulty that arises in radar detection is to find an algorithm which adapts to a variety of environments encountered in practice. For this, it is always necessary to develop novel methods.An important concept which is in conjunction with the geometrical properties of an object is the fractal geometry. This geometry, which describes well the complex and irregular objects with its important parameter “the fractal dimension”, measures the degree of complexity of the structure considered and was used in radar detection. As part of our thesis, we propose a new radar detector based on the use of the fractal dimension, estimated by the method of box counting and adapted to all types of clutter in order to achieve the detection of radar signal in sea and ground clutter for synthetic and real data. Since its appearance, the radar imagery was subject to many studies, as well on the level of acquisition as the image processing rebuilt in order to improve the quality of information obtained. One of the advanced imaging radar technique is synthetic aperture radar (SAR) with its two types of configurations monostatic and bistatic. The process of generating a SAR image is undertaken via the use of signal processing techniques to form the image from raw data. Indeed, multiple image formation processes have been developed for monostatic SAR. In this work, we use three algorithms for generating the bistatic SAR images: Matched Filtering Algorithm (MFA), Back Projection Algorithm (BPA) and Polar Format Algorithm (PFA). We study the performance of these algorithms on two types of clutter; K and Weibull (real and complex).
Diplôme : Doctorat en sciences En ligne : ../theses/electronique/CHE7329.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=10979 Détection radar utilisant les fractals et détection des cibles dans des images SAR utilisant des algorithmes de reconstruction des images dans un bruit non gaussien. [texte imprimé] / Soumeya Cherouat, Auteur ; Faouzi Soltani, Directeur de thèse . - جامعة الإخوة منتوري قسنطينة, 2018 . - 147 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : formation des image SAR dimensionfractale détection radar fractale Image frmation ROS fractal dimension Radar detection fractal تشكيل الصورة الراداري البعد الكسوري كاشف الرادار الهندسة الكسورية Index. décimale : 621 Electronique Résumé : The research work on radar detection has been widely investigated during the last decades. For this, several techniques have been developed to analyze and improve radar detection. However, the difficulty that arises in radar detection is to find an algorithm which adapts to a variety of environments encountered in practice. For this, it is always necessary to develop novel methods.An important concept which is in conjunction with the geometrical properties of an object is the fractal geometry. This geometry, which describes well the complex and irregular objects with its important parameter “the fractal dimension”, measures the degree of complexity of the structure considered and was used in radar detection. As part of our thesis, we propose a new radar detector based on the use of the fractal dimension, estimated by the method of box counting and adapted to all types of clutter in order to achieve the detection of radar signal in sea and ground clutter for synthetic and real data. Since its appearance, the radar imagery was subject to many studies, as well on the level of acquisition as the image processing rebuilt in order to improve the quality of information obtained. One of the advanced imaging radar technique is synthetic aperture radar (SAR) with its two types of configurations monostatic and bistatic. The process of generating a SAR image is undertaken via the use of signal processing techniques to form the image from raw data. Indeed, multiple image formation processes have been developed for monostatic SAR. In this work, we use three algorithms for generating the bistatic SAR images: Matched Filtering Algorithm (MFA), Back Projection Algorithm (BPA) and Polar Format Algorithm (PFA). We study the performance of these algorithms on two types of clutter; K and Weibull (real and complex).
Diplôme : Doctorat en sciences En ligne : ../theses/electronique/CHE7329.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=10979 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité CHE/7329 CHE/7329 Thèse Bibliothèque principale Thèses Disponible
Titre : Modélisation et estimation des paramètres d’un fouillis non-Gaussien Type de document : texte imprimé Auteurs : Nouh Guidoum, Auteur ; Faouzi Soltani, Directeur de thèse Mention d'édition : 25/11/2021 Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2021 Importance : 113 f. Format : 30 cm. Note générale : Doctorat 3éme CYCLE LMD.
1 copies imprimées disponibles
Langues : Anglais (eng) Catégories : Français - Anglais
ElectroniqueTags : Electronique: Signaux et Systèmes de Télécommunications Modélisation Fouillis marin Weibull plus le bruit thermique données IPIX CFAR Modeling sea Clutter Weibull plus thermal noise IPIX data النمذجة-فوضى البحر Weibullزائد الضوضاء الحرارية بياناتIPIX Index. décimale : 621 Electronique Résumé :
Accurate detection of maritime targets in all adverse weather conditions requires detailed knowledge and a correct understanding of the signals reflected by the sea surface and its environment. The first objective proposed in this thesis is to find a statistical model that accurately describes the behavior of the intensive sea echo ""Clutter"", and provides a precise long tail. Under this context, two approximate Weibull models with thermal noise are proposed to describe high-resolution sea clutter. For the first model, we derive the expressions of the PDF and CCDF for single and multiple pulses. For the second model, we also derive the expression of the CCDF for single as well as multiple pulses. In addition, we provide the formula of the moments. The parameters estimation for each model is conducted using the PCFE method of the CCDF function based on the N-M algorithm. The simulations were carried out on synthesized sea data as well as on real sea data collected by the McMaster IPIX radar. All the results obtained from synthesized and real IPIX data with a different range resolution (60, 30, 15, 9, and 3 meters) and different polarization modes (HH, VV, HV, and VH) confirmed that the proposed models provide the best-fit performance for sea data, especially in the tail regions, outperforming the CG models with additive thermal noise in most cases. The second work in this thesis is based on the mixture of a proposed Weibull models. In all cases studied, the proposed model provides an accurate fit to the actual IPIX sea data and shows a precise tail, outperforming the mixture of the CG models. Finally, in the context of maritime radar detection, two novel CFAR detectors are suggested for Weibull and CG models with the presence of thermal noise and interfering targets. The proposed detectors have been studied on the basis of synthesized data and real IPIX data. All the results show a high probability of detection as well as an excellent false alarm rate regulation, especially in the case of the presence of spiky clutter.
Diplôme : Doctorat En ligne : ../theses/electronique/GUI7839.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11671 Modélisation et estimation des paramètres d’un fouillis non-Gaussien [texte imprimé] / Nouh Guidoum, Auteur ; Faouzi Soltani, Directeur de thèse . - 25/11/2021 . - جامعة الإخوة منتوري قسنطينة, 2021 . - 113 f. ; 30 cm.
Doctorat 3éme CYCLE LMD.
1 copies imprimées disponibles
Langues : Anglais (eng)
Catégories : Français - Anglais
ElectroniqueTags : Electronique: Signaux et Systèmes de Télécommunications Modélisation Fouillis marin Weibull plus le bruit thermique données IPIX CFAR Modeling sea Clutter Weibull plus thermal noise IPIX data النمذجة-فوضى البحر Weibullزائد الضوضاء الحرارية بياناتIPIX Index. décimale : 621 Electronique Résumé :
Accurate detection of maritime targets in all adverse weather conditions requires detailed knowledge and a correct understanding of the signals reflected by the sea surface and its environment. The first objective proposed in this thesis is to find a statistical model that accurately describes the behavior of the intensive sea echo ""Clutter"", and provides a precise long tail. Under this context, two approximate Weibull models with thermal noise are proposed to describe high-resolution sea clutter. For the first model, we derive the expressions of the PDF and CCDF for single and multiple pulses. For the second model, we also derive the expression of the CCDF for single as well as multiple pulses. In addition, we provide the formula of the moments. The parameters estimation for each model is conducted using the PCFE method of the CCDF function based on the N-M algorithm. The simulations were carried out on synthesized sea data as well as on real sea data collected by the McMaster IPIX radar. All the results obtained from synthesized and real IPIX data with a different range resolution (60, 30, 15, 9, and 3 meters) and different polarization modes (HH, VV, HV, and VH) confirmed that the proposed models provide the best-fit performance for sea data, especially in the tail regions, outperforming the CG models with additive thermal noise in most cases. The second work in this thesis is based on the mixture of a proposed Weibull models. In all cases studied, the proposed model provides an accurate fit to the actual IPIX sea data and shows a precise tail, outperforming the mixture of the CG models. Finally, in the context of maritime radar detection, two novel CFAR detectors are suggested for Weibull and CG models with the presence of thermal noise and interfering targets. The proposed detectors have been studied on the basis of synthesized data and real IPIX data. All the results show a high probability of detection as well as an excellent false alarm rate regulation, especially in the case of the presence of spiky clutter.
Diplôme : Doctorat En ligne : ../theses/electronique/GUI7839.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11671 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité GUI/7839 GUI/7839 Thèse Bibliothèque principale Thèses Disponible
Titre : Optimisation de la détection CFAR distribuée et estimation dans un clutter de distributions non gaussiennes. Type de document : texte imprimé Auteurs : Khaled Zebiri, Auteur ; Faouzi Soltani, Directeur de thèse Mention d'édition : 12/04/2021 Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2021 Importance : 138 f. Format : 30 cm. Note générale : Doctorat 3éme CYCLE LMD.
1 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Electronique: Signaux et Systèmes de Télécommunications BBO radars distribués fouillis Pareto Gaussien composé détecteur non cohérent détecteur robuste fouillis radar distribution log-normale détection CFAR cibles interférentes distribution Gamma simulations Monte Carlo détecteur CMLE distributed sensors Pareto background Compound Gaussian non-coherent detectors robust detector Radar clutter log-normal distribution CFAR detection interfering targets CFAR Gamma distribution Monte Carlo simulations CMLE detector الرادار الموزع فوضى باريتو مركب غاوسي عملية غير متماسكة كاشف قوي فوضى رادار توزيع لوغاريتمي عادي كشف CFARأهداف متداخلة توزيع جاما محاكاة مونت كارلو كاشف .CML Index. décimale : 621 Electronique Résumé :
The objectives of this thesis deal with the domain of radar detection and estimation. The first problem is the study of the optimization problem of distributed CFAR (Constant False Alarm Rate) detection in a Pareto type I distribution environment. In this part, we analyze the performance of the distributed CFAR detectors GM-(Geometric Mean), OS- (Ordered Statistic), GO- (Greatest of) and SO-(Smallest of) CFAR in a Pareto clutter. In this case, we first obtain the approximate expressions for the PD for the GM-CFAR, OS-CFAR, GO-CFAR and SO-CFAR detectors. Due to the nonlinear property of this multidimensional system, we propose the use of an efficient optimization approach based on the BBO (Biogeography Based Optimization) algorithm to obtain the optimal scale factor of the local detectors. Each detector makes its own decision and sends it to the fusion center to obtain a binary global decision according to a preselected fusion rule. We examine the cases of three data fusion rules ""AND"", ""OR"" and ""MAJORITY"" at the fusion center. Through Monte-Carlo
simulations, the detection performances of the detectors are evaluated for a homogeneous and heterogeneous Pareto clutter. For high-resolution radars, sea clutter modeling has shown that CG distributions are
appropriate for describing these clutter returns. The second study addresses the problem of adaptive CFAR detection in a non-Gaussian clutter. We propose three new CFAR detectors in a non-coherent context, where the clutter follows a non-Gaussian distribution. Monte Carlo simulations have shown that the new detectors are robust for three CG models; namely the K distribution, the Compound Gaussian distribution with Inverse Gamma texture (GP) and the CIG distribution. The false alarm regulation was then examined in the presence of interfering targets. Finally, the performance of the three proposed algorithms were validated using real IPIX data The third objective concerns the CFAR detection in a log-normal clutter. The proposed algorithm is based on scale and power invariant distributions. This includes the choice of two functions called scale invariant function and secondary function of CRP (Clutter Range Profile). However, the existing CFAR algorithms exhibit remarkable CFAR losses due to the presence of outliers. In order to provide a modified decision rule with immunity against interfering targets, we propose an appropriate choice of these two
functions. To do this, two functions based on WH and ordered statistics are proposed for a log-normal clutter. The dependence of the false alarm probability on interfering targets and the log-normal distributed clutter parameters are also investigated. From the simulated data, the log-t detector, GMOS-(Geometric Mean Ordered Statistic), TMOS-(Trimmed Mean Ordered Statistic), IE-(Inclusion / Exclusion) and WH-(Weber-Haykin)CFAR detectors are used for the purpose of comparison. The results obtained from synthetic data clearly indicate that a smaller CFAR loss is obtained by the proposed decision rule and outperforms the other detectors in the presence of multiple interfering targets. A lower CFAR loss is obtained by the proposed decision rule, in particular in the presence of strong secondary targets. Finally, the performance of the proposed algorithms were validated using real IPIX data The forth objective deals with the CFAR censored maximum likelihood detection in a Gamma distribution environment with a known shape parameter. In this study, we propose the (Censored Maximum Likelihood Estimate) CMLE -CFAR detector under the case of one censored sample. The decision rule of the proposed CMLE detector is given in terms of ML estimates of the scale parameter. Based on the Monte-Carlo simulations, the detection performances of the CML-CFAR detector are compared to the existing CA-, ML- and OS CFAR algorithms. In the presence of interfering targets, it is shown that there is an improvement in the probability of detection if the proposed CMLE-CFAR algorithm is used. The fifth problem in this thesis consists of developing the CMLE and Bayes methods to estimate the dispersion parameter of the Pearson population from censored samples. The proposed estimators cannot be obtained in closed forms in which the estimates are runed numerically after setting the desired number of censored data.Note de contenu :
Annexe.Diplôme : Doctorat En ligne : ../theses/electronique/ZEB7737.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11570 Optimisation de la détection CFAR distribuée et estimation dans un clutter de distributions non gaussiennes. [texte imprimé] / Khaled Zebiri, Auteur ; Faouzi Soltani, Directeur de thèse . - 12/04/2021 . - جامعة الإخوة منتوري قسنطينة, 2021 . - 138 f. ; 30 cm.
Doctorat 3éme CYCLE LMD.
1 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Electronique: Signaux et Systèmes de Télécommunications BBO radars distribués fouillis Pareto Gaussien composé détecteur non cohérent détecteur robuste fouillis radar distribution log-normale détection CFAR cibles interférentes distribution Gamma simulations Monte Carlo détecteur CMLE distributed sensors Pareto background Compound Gaussian non-coherent detectors robust detector Radar clutter log-normal distribution CFAR detection interfering targets CFAR Gamma distribution Monte Carlo simulations CMLE detector الرادار الموزع فوضى باريتو مركب غاوسي عملية غير متماسكة كاشف قوي فوضى رادار توزيع لوغاريتمي عادي كشف CFARأهداف متداخلة توزيع جاما محاكاة مونت كارلو كاشف .CML Index. décimale : 621 Electronique Résumé :
The objectives of this thesis deal with the domain of radar detection and estimation. The first problem is the study of the optimization problem of distributed CFAR (Constant False Alarm Rate) detection in a Pareto type I distribution environment. In this part, we analyze the performance of the distributed CFAR detectors GM-(Geometric Mean), OS- (Ordered Statistic), GO- (Greatest of) and SO-(Smallest of) CFAR in a Pareto clutter. In this case, we first obtain the approximate expressions for the PD for the GM-CFAR, OS-CFAR, GO-CFAR and SO-CFAR detectors. Due to the nonlinear property of this multidimensional system, we propose the use of an efficient optimization approach based on the BBO (Biogeography Based Optimization) algorithm to obtain the optimal scale factor of the local detectors. Each detector makes its own decision and sends it to the fusion center to obtain a binary global decision according to a preselected fusion rule. We examine the cases of three data fusion rules ""AND"", ""OR"" and ""MAJORITY"" at the fusion center. Through Monte-Carlo
simulations, the detection performances of the detectors are evaluated for a homogeneous and heterogeneous Pareto clutter. For high-resolution radars, sea clutter modeling has shown that CG distributions are
appropriate for describing these clutter returns. The second study addresses the problem of adaptive CFAR detection in a non-Gaussian clutter. We propose three new CFAR detectors in a non-coherent context, where the clutter follows a non-Gaussian distribution. Monte Carlo simulations have shown that the new detectors are robust for three CG models; namely the K distribution, the Compound Gaussian distribution with Inverse Gamma texture (GP) and the CIG distribution. The false alarm regulation was then examined in the presence of interfering targets. Finally, the performance of the three proposed algorithms were validated using real IPIX data The third objective concerns the CFAR detection in a log-normal clutter. The proposed algorithm is based on scale and power invariant distributions. This includes the choice of two functions called scale invariant function and secondary function of CRP (Clutter Range Profile). However, the existing CFAR algorithms exhibit remarkable CFAR losses due to the presence of outliers. In order to provide a modified decision rule with immunity against interfering targets, we propose an appropriate choice of these two
functions. To do this, two functions based on WH and ordered statistics are proposed for a log-normal clutter. The dependence of the false alarm probability on interfering targets and the log-normal distributed clutter parameters are also investigated. From the simulated data, the log-t detector, GMOS-(Geometric Mean Ordered Statistic), TMOS-(Trimmed Mean Ordered Statistic), IE-(Inclusion / Exclusion) and WH-(Weber-Haykin)CFAR detectors are used for the purpose of comparison. The results obtained from synthetic data clearly indicate that a smaller CFAR loss is obtained by the proposed decision rule and outperforms the other detectors in the presence of multiple interfering targets. A lower CFAR loss is obtained by the proposed decision rule, in particular in the presence of strong secondary targets. Finally, the performance of the proposed algorithms were validated using real IPIX data The forth objective deals with the CFAR censored maximum likelihood detection in a Gamma distribution environment with a known shape parameter. In this study, we propose the (Censored Maximum Likelihood Estimate) CMLE -CFAR detector under the case of one censored sample. The decision rule of the proposed CMLE detector is given in terms of ML estimates of the scale parameter. Based on the Monte-Carlo simulations, the detection performances of the CML-CFAR detector are compared to the existing CA-, ML- and OS CFAR algorithms. In the presence of interfering targets, it is shown that there is an improvement in the probability of detection if the proposed CMLE-CFAR algorithm is used. The fifth problem in this thesis consists of developing the CMLE and Bayes methods to estimate the dispersion parameter of the Pearson population from censored samples. The proposed estimators cannot be obtained in closed forms in which the estimates are runed numerically after setting the desired number of censored data.Note de contenu :
Annexe.Diplôme : Doctorat En ligne : ../theses/electronique/ZEB7737.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11570 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité ZEB/7737 ZEB/7737 Thèse Bibliothèque principale Thèses Disponible
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