An Error Vector Magnitude Performance Modeling and Analysis Methodology for 5G mm-Wave Transmitters

IEEE MICROWAVE AND WIRELESS TECHNOLOGY LETTERS(2023)

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摘要
This letter proposes an error vector magnitude (EVM) modeling and analysis approach for a 5G mm-wave device under test IC (DUT). This model incorporates the signal characteristics (e.g., bandwidth (BW), peak-to-average-power ratio (PAPR), and power level) and the system characteristics (e.g., intermodulation distortion (IMD) and amplitude modulation (AM-AM) $\ldots $ ). The proposed approach accurately captures the device's performance under study (DUT) for different device settings. The model is data-aided and compared to different modeling techniques presented in the state of the art, where it proves to be accurate in predicting the performance of a 5G mm-wave system with below 0.5% EVM error and 0.7 dB error in power across BW. Since the model predicts the DUT performance, this approach can facilitate design efforts creating expectations for chip performance postfabrication.
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关键词
Analytical models,5G mobile communication,Peak to average power ratio,Mathematical models,Modulation,Linearity,Estimation,5G transmitters,error vector magnitude (EVM),linearity optimization,nonlinear distortion
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