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[IEEE 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) - Paris, France (2019.9.1-2019.9.6)] 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) - Synchronous Pumping Terahertz Parametric Oscillator Driven by Amplified Picosecond Mode-locked Laser
摘要： This paper analyzes the effects of load impedance mismatch in power ampli?ers which linearity has been enhanced using various digital predistortion (DPD) algorithms. Two different power ampli?er architectures are considered: a class AB and a Doherty ampli?er and three model structures for the DPD model are compared: memoryless polynomial (MLP), general memory polynomial (GMP) and Kautz-Volterra functions (KV). This paper provides a sensitivity analysis of the linearized ampli?ers under load mismatch conditions and reports the performance when dynamic parameter identi?cation for the DPD is used to compensate for the changes in the load impedance. In general, power ampli?ers linearity is sensitive to load impedance mismatch. Linearity may degrade as much as 10 dB (in normalized mean square error) according to the magnitude and the phase of the re?ection coef?cient provided by the load impedance. However, depending on the ampli?er design, the sensitivity to load impedance mismatch varies. While the Doherty ampli?er studied show signi?cant linearity degradations in the in-band and out-of-band distortions, the out-of-band distortions of the studied class AB were less sensitive to the load impedance mismatch. In adaptive DPD schemes, the performance obtained in the MLP model does not bene?t from the updating scheme and the performance achieved is similar to a static case, where no updates are made. This stresses the memory requirements in the predistorter. When employing the GMP and the KV models in an adaptive DPD scheme, they tackle to a larger extent the linearity degradations due to load impedance mismatch.
关键词： load impedance,Digital predistortion,power ampli?ers,impedance mismatch
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific) - Seogwipo-si, Korea (South) (2019.5.8-2019.5.10)] 2019 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific) - Technical Evaluation of Utility-Interactive Photovoltaic Power Generation System with Energy Storage based on the Experimental Setup
摘要： This paper analyzes the effects of load impedance mismatch in power ampli?ers which linearity has been enhanced using various digital predistortion (DPD) algorithms. Two different power ampli?er architectures are considered: a class AB and a Doherty ampli?er and three model structures for the DPD model are compared: memoryless polynomial (MLP), general memory polynomial (GMP) and Kautz-Volterra functions (KV). This paper provides a sensitivity analysis of the linearized ampli?ers under load mismatch conditions and reports the performance when dynamic parameter identi?cation for the DPD is used to compensate for the changes in the load impedance. In general, power ampli?ers linearity is sensitive to load impedance mismatch. Linearity may degrade as much as 10 dB (in normalized mean square error) according to the magnitude and the phase of the re?ection coef?cient provided by the load impedance. However, depending on the ampli?er design, the sensitivity to load impedance mismatch varies. While the Doherty ampli?er studied show signi?cant linearity degradations in the in-band and out-of-band distortions, the out-of-band distortions of the studied class AB were less sensitive to the load impedance mismatch. In adaptive DPD schemes, the performance obtained in the MLP model does not bene?t from the updating scheme and the performance achieved is similar to a static case, where no updates are made. This stresses the memory requirements in the predistorter. When employing the GMP and the KV models in an adaptive DPD scheme, they tackle to a larger extent the linearity degradations due to load impedance mismatch.
关键词： power ampli?ers,Digital predistortion,impedance mismatch,load impedance
更新于2025-09-16 10:30:52
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Spectral Weighting Orthogonal Matching Pursuit Algorithm for Enhanced Out-of-Band Digital Predistortion Linearization
摘要： This paper presents a new variant of the orthogonal matching pursuit (OMP) algorithm for reducing the computational complexity of the digital predistortion (DPD) behavioral model in the forward path. The proposed spectral weighting OMP (SW-OMP) algorithm focuses on selecting the most relevant basis functions to compensate for the out-of-band residual distortion which may eventually be masked by the dominant in-band residual error. This basis selection is carried out in an off-line process that does not affect the computational complexity of the real-time closed-loop DPD but, on the contrary, reduces its complexity while enhancing the robustness. Experimental results show that by selecting the DPD coef?cients with the SW-OMP, the inherent ACLR and NMSE degradation suffered when reducing the number of coef?cients is mitigated under strong nonlinear operation, when compared to using the basis functions selected by the classical OMP algorithm.
关键词： 5G mobile communication,power ampli?ers,digital predistortion linearization
更新于2025-09-09 09:28:46