Neural-network-based pre-distortion method to compensate for low resolution DAC nonlinearity
Neural-network-based pre-distortion method to compensate for low resolution DAC nonlinearity
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基于神经网络的预失真方法可补偿低分辨率 DAC 非线性
DOI：
10.1049/cp.2019.0971
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Abu-Romoh M
中科院分区：
文献类型：
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作者：
Abu-Romoh M
我们评估了基于低分辨率dac的数模转换器（dac）非线性对收发器的影响。提出了一种基于间接学习神经网络的预失真技术，在高非线性的情况下，对32Gbaud的64-QAM信号提高了3.8dB。
We evaluate the effect of digital to analogue converters (DACs) nonlinearity in transceivers based on low resolution DACs. A pre-distortion technique based on indirect learning neural networks is proposed which shows a 3.8dB improvement with high nonlinearity for 32Gbaud 64-QAM.