New estimation and channel equalization techniques studies adapted to SC-FDMA system

The SC-FDMA " Single-Carrier Frequency Division Multiple Access ", is a multiple access scheme, allowing efficient communication resources allocation to multiple mobile terminals. This technique aroused particular interest during the 3GPP LTE " Long Term Evolution "standard specifications. The reconsideration of this technique is related to the low amplitude variation of the generated temporal signal, which is characterized by a low PAPR " Peak to Average Power Ratio ". This major advantage makes possible a use of power amplifier system in the area near the compression point, thus maximizing performance avoiding any distortions. Thus, this system was adopted in the new standard of 3GPP LTE as multiple access scheme for uplink communication. However, in the 3GPP LTE specifications, one symbol over seven is systematically reserved for channel estimation on all sub-carriers that occurs to the system useful throughput decreasing. The objective of this thesis is to propose some estimation and equalization techniques adapted for SC-FDMA system to avoid the loss of the useful throughput. We have investigated, some equalization techniques such as one based on ghosts references, but also some estimation techniques as one based on " Added Signal "in the useful signal bandwidth.

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Source https://theses.hal.science/tel-00657895
Author Yameogo, Yvon Sosthène
Maintainer CCSD
Last Updated May 24, 2026, 15:52 (UTC)
Created May 24, 2026, 15:52 (UTC)
Identifier tel-00657895
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Institut d'Electronique et de Télécommunications de Rennes (IETR) ; Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes) ; Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-Centre National de la Recherche Scientifique (CNRS)
creator Yameogo, Yvon Sosthène
date 2011-09-30T00:00:00
harvest_object_id 80412858-a8a2-4682-ac69-9120963e4bfb
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-11-05T00:00:00
set_spec type:THESE