基于演化算法的FIR数字滤波器设计研究  

The FIR Digital Filter Design based on Evolutionary Algorithm

作　　者：李康顺[1,2,3] 王婷[1] 张文生[3] 

机构地区：[1]江西理工大学信息工程学院,江西赣州341000 [2]华南农业大学信息学院,广州510642 [3]中国科学院自动化研究所,北京100190

出　　处：《微计算机信息》2010年第7期43-45,共3页Control & Automation

摘　　要：在信号传递与交换的过程中,信道以及分散在通信系统其他各处都存在噪声,噪声消除是信号处理的核心问题之一,滤波技术是一种常规的噪声消除技术。传统的滤波技术均要求已知信号和噪声的统计先验知识,本文研究的自适应滤波器的参数可以自动地按照某种准则调整到最佳滤波,实现时不需要任何关于信号和噪声的先验统计知识。本文采用演化算法来实现最佳滤波,理论分析和仿真结果表明,该算法不仅能快速有效的设计出最佳滤波的自适应滤波器,而且还能使误差达到最小。In the process of signal exchange and transfer,the noise exists throughout the channel as well as other decentralization in the communication system.Noise reduction is one of the core issues in signal processing,and the filtering technology is a conventional technology of noise cancellation.Traditional filtering techniques require some priori statistical knowledge of signal and noise.In this paper,optimal adaptive filters are implemented by using evolutionary algorithm,which don ＇t need any priori statistical knowledge of signal and noise,and the parameters of these adaptive filters can be automatically adjusted to the best in accordance with certain criteria.Theoretical analysis and simulation results show that it can not only quickly design effective optimal adaptive filters by using evolutionary algorithm,but also can achieve minimal error.

关 键 词：FIR数字滤波器 演化算法 噪声消除 均方误差 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]