拟牛顿粒子群算法在非线性电路谐波平衡方程中的应用

APPLICATION OF QUASI-NEWTON PARTICLE SWARM ALGORITHM IN NONLINEAR CIRCUIT HARMONIC BALANCE EQUATION

因为功率放大器的非线性失真会导致交调失真的产生以及邻信道干扰等问题,严重影响系统的性能,所以对放大器模型进行定量的描述和分析是很重要的。在研究已有的非线性电路谐波平衡分析方法基础上,采用粒子群算法与拟牛顿算法结合(拟牛顿粒子群算法)求解谐波平衡方程,得出相应的仿真分析结果。结果表明,应用拟牛顿粒子群算法提高了系统的收敛速度,同时与实际放大器各个指标拟合较好,对非线性电路分析具有较好的参考价值。

The nonlinear distortion of power amplifier can lead to intermodulation distortion and adjacent channel interference,which seriously impacts the performance of the system,so the quantitative description and analysis on amplifier model are quite important.Based on the study of previous nonlinear circuits harmonic balance analysis method,in this paper we combine the particle swarm algorithm with quasi-newton algorithm（quasi-newton particle swarm algorithm） to solve the harmonic balance equation,and get the corresponding simulation analysis results.Results show that,the use of quasi-newton particle swarm algorithm improves the system convergence rate,and at the same time the new algorithm fits well with various indices of the actual amplifier,this has good reference value for nonlinear circuits analysis.