Published September 15, 2008
| Version v1
Conference paper
Tensor based receivers for nonlinear Radio Over Fiber uplinks in multiuser CDMA systems
- Others:
- Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe SIGNAL ; Signal, Images et Systèmes (Laboratoire I3S - SIS) ; Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- GTEL - Grupo de Pesquisa em Telecomunicações Sem Fio (UFC) ; Universidade Federal do Ceará = Federal University of Ceará (UFC)
Description
Two semi-blind tensor based receivers for uplink radio over fiber (ROF) nonlinear instantaneous channels in a multiuser code division multiple access (CDMA) environment are proposed in this paper. These receivers are based on the PARAFAC decomposition of a tensor (three-way array) composed of received signals with space, time and code diversities. A great advantage of the tensor approach is that it allows joint blind estimation of the channel and transmitted signals under weak uniqueness conditions compared with existing methods, which is particularly suitable when identifying nonlinear systems. Two estimation algorithms are proposed and illustrated by means of computer simulations.
Abstract
International audience
Additional details
- URL
- https://hal.archives-ouvertes.fr/hal-00417593
- URN
- urn:oai:HAL:hal-00417593v1
- Origin repository
- UNICA