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Simplified Volterra Series Based Behavioral Modeling of RF Power Amplifiers Using Deviation-Reduction

机译:基于Volterra系列的RF功率放大器使用偏差减少的基于Volterra系列的行为建模

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In this paper, a new deviation-reduction approach is proposed to simplify the structure of Volterra series based behavioral models, aimed at significantly reducing the complexity of this kind of model for RF/Microwave power amplifiers. The proposed model reduction method is based on a new format representation of the Volterra series, which is extended from a previously-introduced "Modified Volterra Series" but adapted to a complex baseband formulation in the discrete time-domain. This model can be easily extracted directly from measured time-domain samples of input and output signals of an amplifier by employing simple linear system identification algorithms.
机译:本文提出了一种新的偏差方法,简化了基于Volterra系列的行为模型的结构,旨在显着降低RF /微波功率放大器这种模型的复杂性。所提出的模型还原方法基于Volterra系列的新格式表示,该volterra系列从先前引入的“修改的Volterra系列”延伸,而是适于在离散时域中的复杂基带式制定。通过采用简单的线性系统识别算法,可以轻松地从放大器的输入和输出信号的测量和输出信号的测量时间域样本直接提取该模型。

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