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Distortion-characteristic estimation predistorter for high efficiency power amplifiers

机译:高效功率放大器的失真特性估计预失真器

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摘要

Power amplifier (PA) is one of important components in wireless communication system. However, its non-linear and memory characteristic cause harmful distortion, which significantly decreases the power efficiency and wastes electronic energy since the power of PA needs back off. To overcome the non-linear and memory problems, a novel method based on distortion-characteristic estimation algorithm is developed in this study. The main innovation of this study is manifested in two aspects: first, the authors use well designed training signals to estimate the distortion characteristic of the PA; second, a novel PA characteristic estimation algorithm is developed in order to calculate the optimal state of the ideal predistorter that behaves like the inverse characteristic of PA theoretically. Since this novel method does not require the error between original signals and feedback signals, it can avoid the significant errors caused by the time mismatch between source signals and feedback signals, and can increase the power efficiency of the PA. The simulation results validate the performance increase and the synchronisation-error immunity over the existing simplified filter look up table method.
机译:功率放大器(PA)是无线通信系统中的重要组件之一。但是,其非线性和存储特性会导致有害的失真,这会大大降低功率效率并浪费电能,因为PA的功率需要退后。为克服非线性和存储问题,本研究提出了一种基于失真特征估计算法的新方法。这项研究的主要创新体现在两个方面:首先,作者使用精心设计的训练信号来估计PA的失真特性;其次,开发了一种新颖的PA特性估计算法,以计算理论上表现得像PA逆特性的理想预失真器的最佳状态。由于这种新颖的方法不需要原始信号和反馈信号之间的误差,因此它可以避免由源信号和反馈信号之间的时间不匹配引起的重大误差,并且可以提高PA的功率效率。仿真结果验证了现有简化滤波器查找表方法的性能提高和同步误差抗扰性。

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