中文摘要：

为解决传统间接学习结构自适应预失真器中幅度和相位预失真参数之间相互影响的问题，提出了一种对功率放大器的幅度和相位预失真参数进行分开和并行估计的自适应预失真方法，其中幅度和相位预失真器均采用间接学习结构进行训练；将该方法应用在典型的无记忆功率放大器模型中，对DVB—T标准中2k模式OFDM信号的预失真过程进行了实验仿真；仿真结果表明，在预失真多项式阶数相同条件下，改进的间接学习结构预失真方法与传统间接学习结构预失真方法相比较，带外谱抑制增益平均提高了约4dB。

英文摘要：

To solve the problem of mutual influence between amplitude and phase predistortion parameters in the traditional adaptive predistorter based on indirect learning architecture, an adaptive predistortion method is proposed, in which the amplitude and phase predistortion parameters a,e respectively estimated in parallel and the amplitude and phase predis- torters are both to be trained by using indirect learning architecture; The method is applied in the typical memoryless power amplifier models, and tile predistortion process of the OFDM signal of DVB-T standard in the 2K mode are simulated ; Sim- ulation results show that under the conditions with the same predistortion polynomial order, the improved indirect learning architecture predistortion method compared with traditional indirect leanaing architecture, the average suppression gain outside frequncy band is increased by approximately 4dB.