Documents disponibles écrits par cet auteur

Radar detection in interfering target environment / Boualem Magaz 

Public ISBD Titre : Radar detection in interfering target environment : Algorithm design and real-time implementation Type de document : texte imprimé Auteurs : Boualem Magaz, Auteur ; Mohamed Arezki Adel Belouchrani, Directeur de thèse ; Mhamed Hamadouche, Directeur de thèse Editeur : [S.l.] : [s.n.] Année de publication : 2012 Importance : 160 f. Présentation : ill. Format : 30 cm Accompagnement : 1 CD-ROM. Note générale : Doctorat : Electronique : Alger, Ecole Nationale Polytechnique : 2012 Annexes f. 127 - 152. Bibliogr. f. 155 - 160 Langues : Anglais (eng) Mots-clés : Electronique;  ALC-CFAR;  Detection;  DSP;  FAOSOSD;  Implementation;  ITC;  Radar Index. décimale : D002212 Résumé : The main contribution of this thesis involves two parts. The first one concerns the proposition of two novel algorithms for radar target detection referred to as, respectively, FAOSOSD, Forward Automatic Order Selection Ordered Statistics Detector, based on the minimization of the information theoretic criteria, and ALC-CFAR, Adaptive Linear Combined CFAR, based on an adaptive linear combination of the CA-CFAR and the OS-CFAR detectors thresholds. These algorithms present the ability to sense automatically the environment changes, especially in presence of interfering targets, by adapting their thresholds to ensure better performance compared to classical detectors. The second part deals with the proposition of new and efficient architectures suitable for the implementation of the proposed detectors on the TMS320C6711 DSP processor. The real time processing constraints and the radar signal digitalization effect on the detection quality have been evaluated and discussed. The obtained results show that the developed detectors are suitable for practical applications in radar detection. Radar detection in interfering target environment : Algorithm design and real-time implementation [texte imprimé] / Boualem Magaz, Auteur ; Mohamed Arezki Adel Belouchrani, Directeur de thèse ; Mhamed Hamadouche, Directeur de thèse . - [S.l.] : [s.n.], 2012 . - 160 f. : ill. ; 30 cm + 1 CD-ROM. Doctorat : Electronique : Alger, Ecole Nationale Polytechnique : 2012 Annexes f. 127 - 152. Bibliogr. f. 155 - 160 Langues : Anglais (eng) Mots-clés : Electronique;  ALC-CFAR;  Detection;  DSP;  FAOSOSD;  Implementation;  ITC;  Radar Index. décimale : D002212 Résumé : The main contribution of this thesis involves two parts. The first one concerns the proposition of two novel algorithms for radar target detection referred to as, respectively, FAOSOSD, Forward Automatic Order Selection Ordered Statistics Detector, based on the minimization of the information theoretic criteria, and ALC-CFAR, Adaptive Linear Combined CFAR, based on an adaptive linear combination of the CA-CFAR and the OS-CFAR detectors thresholds. These algorithms present the ability to sense automatically the environment changes, especially in presence of interfering targets, by adapting their thresholds to ensure better performance compared to classical detectors. The second part deals with the proposition of new and efficient architectures suitable for the implementation of the proposed detectors on the TMS320C6711 DSP processor. The real time processing constraints and the radar signal digitalization effect on the detection quality have been evaluated and discussed. The obtained results show that the developed detectors are suitable for practical applications in radar detection.

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Spécialité	Etat_Exemplaire
D002212B	D002212	Papier + ressource électronique	Bibliothèque Annexe	Thèse de Doctorat	Disponible	Electronique	Consultation sur place/Téléchargeable
D002212A	D002212	Papier + ressource électronique	Bibliothèque centrale	Thèse de Doctorat	Disponible	Electronique	Consultation sur place/Téléchargeable

Documents numériques

MAGAZ.Boualem.pdf URL