首页 | 本学科首页   官方微博 | 高级检索  
     

考虑输出饱和约束的自适应FIR滤波器设计
引用本文:李嘉全,沈宏海,戴明,王永. 考虑输出饱和约束的自适应FIR滤波器设计[J]. 数据采集与处理, 2010, 25(1)
作者姓名:李嘉全  沈宏海  戴明  王永
作者单位:1. 中国科学院长春光学精密机械与物理研究所,长春,130033
2. 中国科学技术大学自动化系,合肥,230027
基金项目:国家高技术研究发展计划("八六三"计划)重点项目 
摘    要:针对Bershad算法中滤波器输出信号畸变的问题,提出了一种新的考虑输出饱和约束的自适应有限脉冲响应(Finite-impulse-response, FIR)滤波器设计方法,并给出了它的最小均方(Least mean square, LMS)算法实现.理论证明和数值仿真验证了本文算法的有效性.与Bershad算法相比,按照本文算法设计的自适应FIR滤波器不仅严格满足饱和约束条件,输出信号也光滑无畸变,从而克服了Bershad算法的滤波器输出畸变问题.

关 键 词:自适应FIR滤波器  输出饱和约束  LMS算法

Adaptive FIR Filter Design with Saturation Constraint on Output
Li Jiaquan,Shen Honghai,Dai Ming,Wang Yong. Adaptive FIR Filter Design with Saturation Constraint on Output[J]. Journal of Data Acquisition & Processing, 2010, 25(1)
Authors:Li Jiaquan  Shen Honghai  Dai Ming  Wang Yong
Affiliation:Li Jiaquan1,Shen Honghai1,Dai Ming1,Wang Yong2(1.Changchun Institute of Optics,Fine Mechanics , Physics,Chinese Academy of Science,Changchun,130033,China,2.Department of Automation,University of Science & Technology of China,Hefei,230027,China)
Abstract:To avoid output distortion problem of Bershad algorithm,a new adaptive finite-impulse-response(FIR) filter with the output saturation constraint is designed.The filter is realized by least mean square(LMS) algorithm.Both the theoretical derivation and the numerical simulation demonstrate the effectiveness of the algorithm.Compared with the Bershad algorithm,the adaptive FIR filter designed by new algorithm can meet the saturation constraint,and has a smooth output signal without the distortion.Therefore,it ...
Keywords:adaptive FIR filter  saturation constraint on output  LMS algorithm
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号