Auteur / Autrice : | Sajjad Hussain |
Direction : | Jacques Palicot |
Type : | Thèse de doctorat |
Discipline(s) : | Traitement du signal et télécommunications |
Date : | Soutenance en 2009 |
Etablissement(s) : | Rennes 1 |
Ecole(s) doctorale(s) : | École doctorale Mathématiques, télécommunications, informatique, signal, systèmes, électronique (Rennes) |
Partenaire(s) de recherche : | autre partenaire : Université européenne de Bretagne (2007-2016) |
Mots clés
Résumé
Multi-carrier signals like Orthogonal Frequency Division Multiplexing (OFDM) have high Peak to Average Power Ratio (PAPR). A signal with high PAPR when amplified by a Power Amplifier (PA) without any special treatment, results in distortions. There are methods devised to either linearize the amplifier or to reduce the PAPR to tackle this problem. In this thesis, the focus is on the solution of PA non-linear distortions problem through PAPR reduction. There are several methods proposed in literature for the PAPR reduction of multi-carrier OFDM signals. We have extended this study to multi-standard signal scenario. One of the outcomes of rapid growth in the field of telecommunications is Software Radio (SWR) concept which is a multi-standard system. Its evolved form is Cognitive Radio which is the basically SWR embedded with intelligence. We have analyzed and reduced PAPR of SWR and Cognitive Radio signals under different scenarios. The effects of different system parameters on PAPR reduction performance are studied. The compromise between PAPR reduction gain and computational complexity is given.