模拟退火粒子群算法的Volterra主动噪声消除器  

A active noice cancellation of volterra filter based on SA-PSO algorithm

作　　者：徐传忠[1] 王永初[2] 杨冠鲁[1] 

机构地区：[1]华侨大学信息学院,福建泉州362021 [2]华侨大学机电学院,福建泉州362021

出　　处：《自动化与仪器仪表》2010年第3期116-117,共2页Automation & Instrumentation

基　　金：福建省自然科学基金资助项目(2009J01257)

摘　　要：当Volterra滤波器的阶数较大时,滤波器的系数呈几何级数增长,实现困难。本文利用模拟退火粒子群算法优化二阶Volterra非线性滤波器系数,并将其用于管道噪声消除。该算法结构简单、运行速度快,有较强的全局搜索能力。数值仿真结果表明,该方法达到良好的非线性消噪效果。As the order of filter increases, the coefficient of second-order Volterra filter increases geometrically and it＇s difficult to implement. SA-PSO algorithm is used to optimize the coefficient of Volterra nonlinear filter in this paper.This algorithm has the global searching ability and is simple to implement.Simulation results show that this method has good perfomance of nonlinear noise cancellation.

关 键 词：非线性滤波器 主动噪声消除:粒子群算法 模拟退火 

分 类 号：TP368.1[自动化与计算机技术—计算机系统结构]