【摘要】 根据功率放大器的记忆非线性特性,给出一种基于粒子群优化算法的预失真处理方法。选取记忆非线性多项式作为预失真器模型,用粒子群优化算法对多项式的系数进行最优估计,获得预失真器模型参数。分别对连块Wiener模型和记忆多项式模型这两种经典功率放大器模型进行预失真处理,结果表明,所给方法对记忆非线性功放的线性化效果良好,可正确判别发送信号。更多还原

【Abstract】 According to the nonlinear characteristics of the power amplifier,apredistortion processing method based on particle swarm optimization algorithm is proposed.Select the memory nonlinear polynomial as a predistorter model,and use the particle swarm optimization algorithm to estimate the coefficients of the polynomials and to obtain the parameters of predistorter model.chose two kinds of classical power amplifier models, Wiener model and memory polynomial model,to execute the predistortion processing respectively,and the results show that,the proposed method linearize the memory nonlinear power amplifier well,it can find out the sending signal correctly.更多还原