功率放大器的非线性预失真技术的研究

功率放大器作为一种重要的电子元器件,具有放大信号的功能,但有源电子元器件的非线性失真特性会影响信息的正确接收,采用有记忆预失真间接学习模型解决功放存在的非线性问题。该模型中依据功放输出幅度最大化和归一化均方误差( NMSE)最小化原则建立了预失真模型,通过仿真计算,归一化均方误差可达到-44. 5408,误差矢量幅度等于0.13%。研究结果表明有记忆预失真间接学习模型确认该模型可有效提升功率放大器的线性化程度。

Study on non - linear pre - distortion technology of the power amplifier

As one of the key electronic elements, power amplifier has the ability to magnify signal.However, the accuracy of the received information was affected by non-linear distortion of the activeelectronic elements , Memory pre-distortion indirect learning structure model was established to solvethis problem with restriction of maximum magnification and minimum mean square error ( NMSE ).The simulation result shows that the mean square error can reach-44.5408 and the error vector mag-nitude equal to 0.13%. It shows that the memory pre-distortion indirect learning structure modelcan effectively improve the linearity of the power amplifier.