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subtracting linear impairments for non-linear impairment digital pre-distortion error signal

机译:减去非线性损伤数字预失真误差信号的线性损伤

摘要

Example embodiment of the systems and methods of linear impairment modeling to improve digital pre-distortion adaptation performance includes a DPD module that is modified during each sample by a DPD adaptation engine. A linear impairment modeling module separates the linear and non-linear errors introduced in the power amplifier. The linear impairment model is adjusted during each sample using inputs from the input signal and from a FB post processing module. The linear impairment modeling module removes the linear errors such that the DPD adaptation engine only adapts the DPD module based on the non-linear errors. This increases system stability and allows for the correction of IQ imbalance inside the linear impairment modeling, simplifying the feedback post-processing.
机译:线性损伤建模以改善数字预失真自适应性能的系统和方法的示例实施例包括DPD模块,该DPD模块在每个样本期间由DPD自适应引擎修改。线性损伤建模模块可分离功率放大器中引入的线性和非线性误差。在每个采样期间,使用来自输入信号和FB后处理模块的输入来调整线性损伤模型。线性损伤建模模块消除了线性误差,因此DPD自适应引擎仅基于非线性误差来适配DPD模块。这增加了系统稳定性,并允许校正线性损伤建模中的IQ不平衡,从而简化了反馈后处理。

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