Application of Deep Learning in Circuit Parameters Extraction of a Vector Modulator

碩士 === 國立交通大學 === 電信工程研究所 === 108 === In this thesis, a vector modulator (EVAL-HMC631LP3) is employed to determine some essential parameters including phase and ampli-tude-imbalance. Here, such a vector modulator is utilized as a 360 degree phase shifter; that is, the input sine signal will have a p...

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Main Authors:	Li, Po-Shien, 李柏賢
Other Authors:	Hwang, Ruey-Bing
Format:	Others
Language:	zh-TW
Published:	2019
Online Access:	http://ndltd.ncl.edu.tw/handle/qvgh5f

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spelling	ndltd-TW-108NCTU54350242019-11-26T05:16:55Z http://ndltd.ncl.edu.tw/handle/qvgh5f Application of Deep Learning in Circuit Parameters Extraction of a Vector Modulator 應用深度學習於向量調變器之電路參數萃取 Li, Po-Shien 李柏賢碩士國立交通大學電信工程研究所 108 In this thesis, a vector modulator (EVAL-HMC631LP3) is employed to determine some essential parameters including phase and ampli-tude-imbalance. Here, such a vector modulator is utilized as a 360 degree phase shifter; that is, the input sine signal will have a phase delay by giving DC I (in-phase) and Q (quadrature phase) voltage, respectively. The mathematical procedure for extracting the circuit parameters was devel-oped. Additionally, one measured a large amount of input-output relation of the vector modulator using a vector network analyzer. Significantly, the deep learning method based on artificial neural network architecture was conducted to obtain the predictive model successfully. Hwang, Ruey-Bing 黃瑞彬 2019 學位論文 ; thesis 40 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 國立交通大學 === 電信工程研究所 === 108 === In this thesis, a vector modulator (EVAL-HMC631LP3) is employed to determine some essential parameters including phase and ampli-tude-imbalance. Here, such a vector modulator is utilized as a 360 degree phase shifter; that is, the input sine signal will have a phase delay by giving DC I (in-phase) and Q (quadrature phase) voltage, respectively. The mathematical procedure for extracting the circuit parameters was devel-oped. Additionally, one measured a large amount of input-output relation of the vector modulator using a vector network analyzer. Significantly, the deep learning method based on artificial neural network architecture was conducted to obtain the predictive model successfully.
author2	Hwang, Ruey-Bing
author_facet	Hwang, Ruey-Bing Li, Po-Shien 李柏賢
author	Li, Po-Shien 李柏賢
spellingShingle	Li, Po-Shien 李柏賢 Application of Deep Learning in Circuit Parameters Extraction of a Vector Modulator
author_sort	Li, Po-Shien
title	Application of Deep Learning in Circuit Parameters Extraction of a Vector Modulator
title_short	Application of Deep Learning in Circuit Parameters Extraction of a Vector Modulator
title_full	Application of Deep Learning in Circuit Parameters Extraction of a Vector Modulator
title_fullStr	Application of Deep Learning in Circuit Parameters Extraction of a Vector Modulator
title_full_unstemmed	Application of Deep Learning in Circuit Parameters Extraction of a Vector Modulator
title_sort	application of deep learning in circuit parameters extraction of a vector modulator
publishDate	2019
url	http://ndltd.ncl.edu.tw/handle/qvgh5f
work_keys_str_mv	AT liposhien applicationofdeeplearningincircuitparametersextractionofavectormodulator AT lǐbǎixián applicationofdeeplearningincircuitparametersextractionofavectormodulator AT liposhien yīngyòngshēndùxuéxíyúxiàngliàngdiàobiànqìzhīdiànlùcānshùcuìqǔ AT lǐbǎixián yīngyòngshēndùxuéxíyúxiàngliàngdiàobiànqìzhīdiànlùcānshùcuìqǔ
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Application of Deep Learning in Circuit Parameters Extraction of a Vector Modulator

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