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Adaptive MIMO detection algorithm by jointly exploiting the properties of signal and channel

Authors :
Yuehua Ding
Jean-Francois Diouris
Yide Wang
Southern University of Science and Technology [Shenzhen] (SUSTech)
Institut d'Électronique et des Technologies du numéRique (IETR)
Université de Nantes (UN)-Université de Rennes 1 (UR1)
Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes)
Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
Southern University of Science and Technology (SUSTech)
Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes)
Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
Charlier, Sandrine
Nantes Université (NU)-Université de Rennes 1 (UR1)
Source :
ICASSP 2011, International Conference on Acoustics, Speech and Signal Processing, International Conference on Acoustics, Speech and Signal Processing, May 2011, Prague, Czech Republic. pp.2011, ICASSP
Publication Year :
2011
Publisher :
HAL CCSD, 2011.

Abstract

The purpose of this paper is to develop an algorithm achieving the performance of fixed-complexity decoder (FSD) with much lower complexity than FSD. An adaptive expansion strategy (AES) is proposed for MMSE Ordered Successive Interference Canceling (MMSE-OSIC). The expansion degree varies according to the channel condition, especially, partial expansion (PE) is proposed in this paper as a transition between Single expansion (SE) and full expansion (FE). Widely linear processing, which is usually confined to non circular signals, is extended to circular signals in PE. Simulation shows that the proposed AES can significantly reduce the complexity with little performance loss, compared with FSD.

Details

Language :
English
Database :
OpenAIRE
Journal :
ICASSP 2011, International Conference on Acoustics, Speech and Signal Processing, International Conference on Acoustics, Speech and Signal Processing, May 2011, Prague, Czech Republic. pp.2011, ICASSP
Accession number :
edsair.doi.dedup.....6cc2b78c0e78c8e6b6efa85aaa3c95b0