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Extended Saleh model for behavioral modeling of envelope tracking power amplifiers

机译:扩展Saleh模型用于包络跟踪功率放大器的行为建模

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In this paper an extended Saleh model is proposed for behavioral modeling of Envelope Tracking Power Amplifiers (ET PAs). The proposed model extends the Saleh model for fixed supply RF PAs by inserting the modulated supply voltage as an additional model variable. Memory effects in both AM/AM and AM/PM characteristics are modeled using respectively a Finite Impulse Response (FIR) filter and a Taylor polynomial with memory. A Least Square Error (LSE) method can be iteratively used for all model coefficient extraction. Simulation data generated in Advanced Design System (ADS) are used to assess the model performance. A downlink LTE signal with 5 MHz of bandwidth is used to run the ET PA simulations in ADS. Model simulations are carried out versus all the swept model nonlinear orders and memory depth to assess the modeling performance trade-offs of the proposed model. NMSE as low as −44.6 dB and ACEPR as low as −53.7 dB were observed as modeling best performance.
机译:本文提出了扩展的Saleh模型,用于包络跟踪功率放大器(ET PA)的行为建模。通过插入调制电源电压作为附加模型变量,建议的模型扩展了固定电源RF PA的Saleh模型。分别使用有限冲激响应(FIR)滤波器和带记忆的泰勒多项式对AM / AM和AM / PM特性中的记忆效应进行建模。最小二乘误差(LSE)方法可以迭代地用于所有模型系数提取。在高级设计系统(ADS)中生成的仿真数据用于评估模型性能。具有5 MHz带宽的下行链路LTE信号用于在ADS中运行ET PA模拟。针对所有扫描模型的非线性阶数和内存深度进行了模型仿真,以评估所提出模型的建模性能折衷。可以观察到NMSE低至-44.6 dB,ACEPR低至-53.7 dB,是建模的最佳性能。

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