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...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2019
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Online Access: | http://ndltd.ncl.edu.tw/handle/qvgh5f |
Summary: | 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.
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