基于自适应遗传算法多项式预失真技术研究

Adaptive Polynomial Pre-distortion Technology Based on the Genetic Algorithm

提出了一种基于自适应遗传算法的多项式预失真补偿方法,该方法的基本原理是利用模拟进化类算法对目标函数进行逼近,对待求解参数进行辨识,进而得到多项式预失真模型。该算法具有良好的收敛性、全局性和鲁棒性,且具有较高的计算效率,为解决数字预失真自适应算法提供了一个新的参考。同时将自适应遗传算法应用于功放线性化设计中并进行了仿真。仿真分析表明,采用模拟进化类的遗传算法对功放失真抑制效果明显。

The paper method. The basic ipl presents an adaptive genetic algorithm based on polynomial pre-distortion compensation e of such polynomial pre-distortion technology is to use simulated evolutionary-like algo- rithm to approximate the objective function, treat solving parameter identification, and then get the polynomial pre- distortion model. The algorithm has good convergence and global robustness and with high computational efficiency and provides a new approach to the digital pre-distortion adaptive algorithm. The adaptive genetic algorithm is ap- plied to the design of power amplifier linearization and simulation, and the results show that simulated evolution u- sing genetic algorithm class has obvious amplifier distortion suppression effect.