中文摘要：

针对目前带记忆效应的功率放大器非线性失真问题,基于限幅的基带预失真技术,采用目标规划给出了无记忆预失真器的矩阵模型.在满足输出功率最大化的同时,限制归一化均方误差值在满意的范围,并提出了有记忆非线性功率放大器的带抽头延时的反向传播神经网络（BPNN）模型.仿真结果表明,提出的实验方法精度高,能达到比较好的线性化效果.

英文摘要：

For the current problem of nonlinear distortion power amplifier with memory effects, a memoryless predistorter matrix model based on limiting baseband predistortion technique was proposed by goal programming. The normalized mean squared error was restruced at a satisfactory range while meeting the maximization of output power. Furthermore, a back- propagation neural network （BPNN） model, whick is combining nonlinear power amplifier with memory and tapped delay nodes was presented. Simulation result shows that the method proposed has a high experimental precision,and can achieve a better linearization effect.