基于循环平稳特性的欠采样宽带数字预失真研究

为了解决行波管(TWT)宽带数字预失真(DPD)中反馈回路ADC采样率过高的问题，该文利用信号的循环平稳特性证实可通过欠采样下的输出信号估计功放的非线性模型参数，然后由功放非线性模型参数和输入信号可恢复出与高采样率下效果相似的功放输出信号，最后通过传统的间接学习结构对功放进行数字预失真以实现行波管的线性化。为了验证该方法，利用20 MHz LTE信号驱动一只55 W的X波段行波管放大器(TWTA)。数字预失真反馈回路的ADC采样率从61.44 Msps降低至6.144 Msps和3.072 Msps，但线性化效果变化不大，表明欠采样方法是有效的。

Research of Low Sampling Frequency Broadband Digital Predistortion with Cyclostationary Characteristics

In order to reduce the sampling rate of the Traveling Wave Tube (TWT) of the Analog to Digital Converter (ADC) in the feedback loop of Digital PreDistortion (DPD), the nonlinear parameters of the power amplifier model are proved to be estimated with the undersampled output signal based on the cyclostationary of digital modulation signal. The output signal similar to high sampling rate can be obtained by combining the nonlinear parameters of the power amplifier model with the input signal. The DPD of the power amplifier is implemented through indirect learning architecture. To validate the method, a 55 W X-band Traveling Wave Tube Amplifier (TWTA) is driven by a 20 MHz LTE signal. The sampling rate of ADC in the DPD feedback loop is reduced from 61.44 Msps to 6.144 Msps and 3.072 Msps, but the linearization effect has little change, which shows the validation of the undersampling method.