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- Alizadeh, MahmoudKTH,Högskolan i Gävle,Elektronik,Teknisk informationsvetenskap,Department of Electronics, Mathematics and Natural Sciences, University of Gävle (HiG), Gävle, Sweden (author)
Characterization of Volterra Kernels for RF Power Amplifiers Using a Two-Tone Signal and a Large-Signal
- Article/chapterEnglish2018
Publisher, publication year, extent ...
- Institute of Electrical and Electronics Engineers (IEEE),2018
- printrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:hig-27867
- https://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-27867URI
- https://doi.org/10.1109/ICComm.2018.8430119DOI
- https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234489URI
Supplementary language notes
- Language:English
- Summary in:English
Part of subdatabase
- SwePubSwePub
Classification
Notes
- QC 20180907
- The 3rd-order Volterra kernels of a radio frequency (RF) power amplifier (PA) are characterized using a large-signal and a two-tone probing-signal. In this technique, the magnitude and phase asymmetries of the kernels of the PA excited by the probing-signal are analyzed in different amplitude regions of the large-signal. The device under test is a class-AB PA operating at 2.14 GHz. The maximum sweeping frequency space of the probing-signal is 20 MHz. The results indicate that the Volterra kernels of the PA show different behaviors (frequency dependency and asymmetry) in different regions.
Subject headings and genre
- TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik hsv//swe
- ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering hsv//eng
- TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Signalbehandling hsv//swe
- ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing hsv//eng
- Kernel
- Radio frequency
- Baseband
- Nonlinear systems
- Frequency dependence
- Frequency-domain analysis
- Discrete Fourier transforms
- nonlinear dynamic RF power amplifier
- volterra kernels
- asymmetry
- two-tone test
- Intelligent industri
- Intelligent Industry
Added entries (persons, corporate bodies, meetings, titles ...)
- Rönnow, DanielHögskolan i Gävle,Elektronik(Swepub:hig)dalrow (author)
- Händel, PeterKTH,Teknisk informationsvetenskap,Department of information science and engineering Royal Institute of Technology (KTH), Stockholm, Sweden(Swepub:kth)u1htctiy (author)
- Högskolan i GävleElektronik (creator_code:org_t)
Related titles
- In:2018 International Conference on Communications, COMM 2018 - Proceedings: Institute of Electrical and Electronics Engineers (IEEE), s. 351-356978153862351097815386235039781538623497
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