摘要
针对自适应滤波器阶数失配问题,提出一种改进的变误差宽度分数阶变阶数LMS算法。该算法中误差宽度函数参数选择不受噪声先验知识的限制,并给出参数选择的依据。对提出的算法分别在高噪声、低噪声以及变化的噪声环境下进行仿真分析,仿真结果表明,该算法在未知系统噪声大小或大小变化的噪声环境能够应用,并且具有良好的性能,尤其在高噪声环境下能够获得较快的阶数收敛速度和较小的稳态误差,因此该算法的应用场合更加广泛。
In order to solve the order mismatch problem of the adaptive filter, an improved variable error width variablefractional tap-length LMS algorithm is proposed. The parameter selection of the error width function isn't limited by the noise priorknowledge in the algorithm, and its foundation is given. The simulation analysis are performed for the algorithm under the envi-ronments of low noise, high noise and changing noise. The simulation results show that the algorithm can be applied to the envi-ronments of the unknown system noise or changing noise, has good performance, can obtain fast order convergence rate andsmall steady-state error in high noise environment, and its applications are extensive.
作者
马令坤
吴波
毛红艳
MA Lingkun WU Bo MAO Hongyan(College of Electrical and Information Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China College of Sciences, Shaanxi University of Science and Technology, Xi'an 710021, China)
出处
《现代电子技术》
北大核心
2017年第1期41-44,共4页
Modern Electronics Technique
基金
国家自然科学基金资助项目(61401261)
陕西省教育厅科研项目(11KJ1015)
关键词
自适应滤波器
模型失配
分数阶变阶数
变误差宽度
adaptive filter
model mismatch
variable fractional tap-length
variable error width