基于遗传算法的自适应滤波器对白噪声的抑制  

Adaptive Filtering for White Noise Suppression Based on Genetic Algorithm

作　　者：同晓荣[1,2] 

机构地区：[1]渭南师范学院数学与信息科学学院,陕西渭南714099 [2]渭南市智慧城市工程技术研究中心,陕西渭南714099

出　　处：《河南科学》2015年第9期1569-1573,共5页Henan Science

基　　金：渭南市科研发展计划项目(2015KYJ-2-6);陕西省教育厅科研计划项目(14JK1251);渭南师范学院自然科学研究项目(14YKF003);校级特色学科建设项目资助(14TSXK02)

摘　　要：信号在传输过程中经常受到白噪声的干扰,由于白噪声频谱分布在整个实数域,常用的滤波器很难将其滤除.讲述了用自适应滤波器和均值滤波对白噪声进行抑制的方法.通过遗传算法对自适应滤波器的进行优化,用均值滤波的方法对自适应滤波器的滤波结果进行进一步滤波,仿真结果表明遗传算法的自适应滤波器能对白噪声进行有效的抑制.Signal transmission is always hindered by white noise,whereas white noise spectrum distributes in the field of real number,consequently it is difficult to filter the noise with the help of traditional filter. This paper introduces the way to reduce the noise by using the adaptive filter and mean filter together. First,genetic algorithm is adopted to optimize the weight vector of the adaptive filter and then mean filter is used to further the filter results. The simulation results show that the adaptive filter based on genetic algorithm can effectively suppress the white noise.

关 键 词：白噪声 遗传算法 自适应滤波 均值滤波 权向量 

分 类 号：TN91[电子电信—通信与信息系统]