Inspecting Distortion in the Power Amplifiers with the aid of Neural Networks

Sercan Aygun, Lida Kouhalvandi, Ece Olcay Gunes, Serdar Ozoguz

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

3 Atıf (Scopus)


This paper aims to classify the distortion behavior of a power amplifier (PA) with the aid of a neural network. Power amplifiers have quite extensive usage in communication systems especially with the current developments on 5G and more. However, distortion in the power amplifiers needs attention to be pre-distorted with the help of a feedback mechanism using direct or indirect methods in the digital domain. In the literature, there are several efforts to understand and reduce distortion in amplifier devices. Therefore, in this paper, the distortion behavior in the power amplifier is inspected using the neural networks. In this work, we have obtained a software-defined network using the strength of the neural network to inspect the distorted and non-distorted data as a binary classification on the actual design of the power amplifier in [1]. For this purpose, a neural network system is trained. In the tests, more than 96% accuracy can easily be obtained in an early epoch with the cleverly chosen learning rate (-) which is optimally outperforming thereabouts after =0.05 till 0.1. Thus, the linearity and non-linearity response of the PA is considered with the help of the trained network.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı22nd International Conference on Advanced Communications Technology
Ana bilgisayar yayını alt yazısıDigital Security Global Agenda for Safe Society, ICACT 2020 - Proceeding
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfa sayısı6
ISBN (Elektronik)9791188428045
Yayın durumuYayınlandı - Şub 2020
Etkinlik22nd International Conference on Advanced Communications Technology, ICACT 2020 - Pyeongchang, Korea, Republic of
Süre: 16 Şub 202019 Şub 2020

Yayın serisi

AdıInternational Conference on Advanced Communication Technology, ICACT
ISSN (Basılı)1738-9445


???event.eventtypes.event.conference???22nd International Conference on Advanced Communications Technology, ICACT 2020
Ülke/BölgeKorea, Republic of

Bibliyografik not

Publisher Copyright:
© 2020 Global IT Research Institute - GIRI.


This work is supported under General Research Projects (GAP) by Istanbul Technical University, BAP, with the project number MGA-2018-41201. This work is financially supported by Istanbul Technical University, Scientific Research Projects Department with grant no. MGA-2018-41201. Moreover, we appreciate to Ph.D. Ömer Aydın and Netas¸ Telecommunications for the technical guidance, support, and inspiration for this project.

FinansörlerFinansör numarası
Istanbul Teknik ÜniversitesiMGA-2018-41201
Istanbul Teknik ÜniversitesiMGA-2018-41201

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