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Power amplifier linearisation scheme to mitigate superfluous radiations and suppress adjacent channel interference

机译:功率放大器线性化方案可减轻多余的辐射并抑制相邻信道的干扰

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摘要

Power amplifiers are one of the costly devices in wireless communication systems and exhibit non-linearity. The problem of non-linearity in the power amplifier categorises in two disturbance impacts, output distortion and in-band distortion which lead to adjacent channel interference and constellation deviation, respectively. In order to gain maximum efficiency of the power amplifier and reduce interference, the authors propose a new digital pre-distortion scheme called complex gain convergence (CGC). The proposed scheme is compared with indirect learning architecture and validated against an laterally diffused metal oxide semiconductor (LDMOS) power amplifier. The outcome of applying CGC scheme shows enhancement in adjacent channel leakage ratio and error vector magnitude performance while the complexity is even lower. An experimental demonstration with the actual power amplifier is also presented.
机译:功率放大器是无线通信系统中昂贵的设备之一,并且表现出非线性。功率放大器中的非线性问题分为两种干扰影响,即输出失真和带内失真,分别导致相邻信道干扰和星座偏离。为了获得功率放大器的最大效率并减少干扰,作者提出了一种新的数字预失真方案,称为复杂增益会聚(CGC)。将该方案与间接学习架构进行了比较,并针对横向扩散的金属氧化物半导体(LDMOS)功率放大器进行了验证。应用CGC方案的结果表明,相邻信道泄漏率和误差矢量幅度性能得到了增强,而复杂度则更低。还介绍了实际功率放大器的实验演示。

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    《Communications, IET》 |2014年第2期|258-265|共8页
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