Attention-Based Deep Neural Network Behavioral Model for Wideband Wireless Power Amplifiers
IEEE Microwave and Wireless Components Letters(2020)
摘要
The behavior models based on artificial neural networks (ANNs) have been widely used in the wideband power amplifier (PA). However, the selected terms of the input signal significantly affect the complexity of the ANNs. In this letter, a method using an attention-based deep neural network (DNN) is proposed to reduce the number of selected input terms for PA modeling. This method first selects the ...
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关键词
Correlation,Wireless communication,Wideband,Complexity theory,Training,OFDM,Neural networks
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