Reconfigurable DPD Based on ANNs for Wideband Load Modulated Balanced Amplifiers Under Dynamic Operation From 1.8 to 2.4 GHz
| العنوان: | Reconfigurable DPD Based on ANNs for Wideband Load Modulated Balanced Amplifiers Under Dynamic Operation From 1.8 to 2.4 GHz |
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| المؤلفون: | Roberto Quaglia, Estefania Guillena, Wantao Li, Gabriel Montoro, Pere L. Gilabert |
| المساهمون: | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. CSC - Components and Systems for Communications Research Group |
| المصدر: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Radiation, Power amplifiers, Amplificadors de potència, Computer science, Frequency band, Amplifier, Bandwidth (signal processing), Linearity, Enginyeria de la telecomunicació [Àrees temàtiques de la UPC], Tuning, Condensed Matter Physics, Peak to average power ratio, Predistortion, Neural networks (Computer science), Linearization, Microwave theory and techniques, Electronic engineering, Xarxes neuronals (Informàtica), Delays, Electrical and Electronic Engineering, Wideband, Crest factor, Neural networks, Long term evolution |
| الوصف: | This article proposes a methodology to ensure linear amplification of a load modulated balanced amplifier (LMBA) while keeping the power efficiency as high as possible over a frequency band ranging from 1.8 to 2.4 GHz and where the transmitted signals can present different bandwidth (BW) configurations. The proposed reconfigurable linearization methodology consists of, in a first step, tuning some free parameters (with dependence on the signal BW and frequency of operation) of the LMBA to trade-off linearity and power efficiency. In a second step, two multipurpose adaptive digital predistortion (DPD) linearizers are considered, properly combined with crest factor reduction (CFR) techniques, to meet the required linearity specifications. Either a DPD based on artificial neural networks or a DPD based on polynomials can be selected taking into account the compromise between computational complexity and linearization performance. Experimental results will validate the proposed methodology to guarantee the linearity levels (ACPR < -45 dBc and EVM < 1%) with high power efficiency in an LMBA under dynamic transmission, where both the signal BW (from 20 and up to 200-MHz instantaneous BW) and frequency of operation (in the range of 1.8-2.4 GHz) change. This work was supported in part by the Spanish Government (Ministerio de Ciencia, Innovación y Universidades) and FEDER (Fondo Europeo de Desarrollo Regional) under Grant TEC2017-83343-C4-2-R and in part by the Generalitat de Catalunya under Grant 2017 SGR 813. This paper is an expanded version from the International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits (INMMiC), Cardiff, United Kingdom, July 2020. |
| وصف الملف: | application/pdf |
| تدمد: | 1557-9670 0018-9480 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d9f22ad74b80a8bc97b3e8abed07ec0Test https://doi.org/10.1109/tmtt.2021.3091672Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....7d9f22ad74b80a8bc97b3e8abed07ec0 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15579670 00189480 |
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