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A Dual-Input Canonical Piecewise-Linear Function-Based Model for Digital Predistortion of Multi-Antenna Transmitters

机译:基于双输入正则分段线性函数的多天线发射机数字预失真模型

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摘要

In this paper, a novel dual-input canonical piece-wise-linear (CPWL) function-based behavior model is proposed for the digital predistortion of multi-antenna transmitters with antenna mutual coupling. The proposed model can be applied to each path separately. By employing CPWL technique, the proposed model can handle higher-order nonlinearity of antenna crosstalk easily, and is more flexible and precise to model power amplifiers. The dynamic deviation reduction conception is used to further optimize the terms of the proposed dual-input model, which avoids the quick increase of the coefficient number when requiring longer memory depth and higher-order nonlinearity. An experiment with two-antenna transmitters is designed to validate the proposed model. The excellent experiment results indicate that the proposed behavior model has a better performance in DPD of multi-antenna transmitters, compared to conventional Volterra-based models.
机译:本文针对天线互耦的多天线发射机的数字预失真,提出了一种基于双输入正则分段线性(CPWL)函数的行为模型。提出的模型可以分别应用于每个路径。通过采用CPWL技术,所提出的模型可以轻松处理天线串扰的高阶非线性,并且对功率放大器的建模更加灵活和精确。动态偏差减少的概念用于进一步优化所提出的双输入模型的项,当需要更长的存储深度和更高阶的非线性时,避免了系数数量的快速增加。设计了一个带有两个天线的发射机的实验来验证所提出的模型。出色的实验结果表明,与传统的基于Volterra的模型相比,所提出的行为模型在多天线发射机的DPD中具有更好的性能。

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