Adaptive MIMO detection for circular signals by jointly exploiting the properties of both signal and channel
| Autor: | Yide Wang, Yuehua Ding, Wei Feng, Suili Feng, Nanxi Li |
|---|---|
| Přispěvatelé: | Charlier, Sandrine, Southern University of Science and Technology (SUSTech), Sino-French Research Center in Information and Communication (SFC/RIC), Université de Nantes (UN)-Southern University of Science and Technology (SUSTech), Institut d'Électronique et des Technologies du numéRique (IETR), 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), School of Information Technology in Education (SITE), South China Normal University, Southern University of Science and Technology [Shenzhen] (SUSTech), Université de Nantes (UN)-Southern University of Science and Technology [Shenzhen] (SUSTech), Nantes Université (NU)-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), Université de Nantes (UN)-Université de Rennes 1 (UR1) |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Computer Networks and Communications
Computer science minimum mean square error (MMSE) Real-time computing MIMO Data_CODINGANDINFORMATIONTHEORY widely linear processing Signal fixed-complexity sphere decoder (FSD) MIMO systems zeroforcing Fading Electrical and Electronic Engineering array signal processing (ZF) Algorithm Software Communication channel Computer Science::Information Theory |
| Zdroj: | IEICE Transactions on Communications IEICE Transactions on Communications, 2014, pp.ID: 2014EBP3045 IEICE Transactions on Communications, Institute of Electronics, Information and Communication Engineers, 2014, pp.ID: 2014EBP3045 |
| ISSN: | 0916-8516 1745-1345 |
| Popis: | International audience; In this paper, an adaptive expansion strategy (AES) is proposed for multiple-input/multiple-output (MIMO) detection in the presence of circular signals. By exploiting channel properties, the AES classifies MIMO channels into three types: excellent, average and deep fading. To avoid unnecessary branch-searching, the AES adopts single expansion (SE), partial expansion (PE) and full expansion (FE) for excellent channels, average channels and deep fading channels, respectively. In the PE, the non-circularity of signal is exploited, and the widely linear processing is extended from non-circular signals to circular signals by I (or Q) component cancellation. An analytical performance analysis is given to quantify the performance improvement. Simulation results show that the proposed algorithm can achieve quasi-optimal performance with much less complexity (hundreds of flops/symbol are saved) compared with the fixedcomplexity sphere decoder (FSD) and the sphere decoder (SD). |
| Databáze: | OpenAIRE |
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