Analysis on LUT based digital predistortion using direct learning architecture for linearizing power amplifiers

Autor: Zhiwen Yu, Anne-Sophie Descamps, Yuehua Ding, Bruno Feuvrie, Yide Wang, Xiaowen Feng
Přispěvatelé: 54th Research Institute of China Electronics Technology Group Corporation (China Electronics Technology Group Corporation) (CETC54), Institut d'Électronique et des Technologies du numéRique (IETR), 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), Sino-French Research Center in Information and Communication (SFC/RIC), Université de Nantes (UN)-Southern University of Science and Technology [Shenzhen] (SUSTech), School of Electronic and Information Engineering, Southern University of Science and Technology [Shenzhen] (SUSTech), School of Computer Science and Engineering, China Scholarship Council, 61401157, National Natural Science Foundation of China, 2015A050502011, Science and Technology Planning Project of Guangdong Province, 2015ZM127, the funds of central universities, 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), Université de Nantes (UN)-Southern University of Science and Technology (SUSTech), Southern University of Science and Technology (SUSTech), Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-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)-Université de Rennes (UNIV-RENNES)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)
Rok vydání: 2016
Předmět:
Zdroj: EURASIP Journal on Wireless Communications and Networking
EURASIP Journal on Wireless Communications and Networking, SpringerOpen, 2016, 2016 (1), ID paper JWCN-D-15-00581R1. ⟨10.1186/s13638-016-0628-y⟩
EURASIP Journal on Wireless Communications and Networking, 2016, 2016 (1), ID paper JWCN-D-15-00581R1. ⟨10.1186/s13638-016-0628-y⟩
ISSN: 1687-1499
1687-1472
DOI: 10.1186/s13638-016-0628-y
Popis: In modern wireless communication system, power amplifier (PA) is an important component which is expected to be operated at the region of high power efficiency, but in this region, PA is inherently nonlinear. Thus, the linearization of high power efficient PA is necessary. In this paper, direct learning architecture (DLA) and indirect learning architecture (ILA) are firstly compared. It shows that DLA is more robust than ILA. Then a baseband digital predistortion (DPD) method with DLA is proposed for power amplifier linearization based on combined look-up tables (LUT) and memory polynomial (MP) model. The main innovation is that a LUT-based approach is proposed to calculate directly the complex-valued predistorted signal. Moreover, some interpolation techniques are introduced to reduce the LUT size. The proposed DPDs are validated experimentally. Additionally, the influences of some important parameters in experimental setup, such as the number of bits of analog-to-digital converter (ADC) and the instrument bandwidth, are analyzed.
Databáze: OpenAIRE
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