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均匀收敛PNLMS自适应算法性能分析与应用
引用本文:袁江南.均匀收敛PNLMS自适应算法性能分析与应用[J].鹭江职业大学学报,2013(4):36-40.
作者姓名:袁江南
作者单位:厦门理工学院光电与通信工程学院,福建厦门361024
基金项目:[基金项目]福建省教育厅科技项目(JA10251)
摘    要:按照均匀收敛的总体要求,通过分析不同权值抽头的均方偏差收敛过程,得到一种均匀收敛比例归一化最小均方算法.对PNLMS算法比例系数进行改进得到另一种均匀收敛算法.仿真结果表明:所提算法保持了PNLMS类算法初始收敛速度快的特点,在整个过程中获得了均匀的速度,稳态误差与NLMS算法基本相同.

关 键 词:比例归一化最小均方  反馈干扰抵消  均匀收敛

Performance Analysis and Applications of Uniform Convergence PNLMS Algorithm
YUAN Jiang-nan.Performance Analysis and Applications of Uniform Convergence PNLMS Algorithm[J].Journal of Lujiang University,2013(4):36-40.
Authors:YUAN Jiang-nan
Institution:YUAN Jiang-nan ( School of Optoelectronic & Communication Engineering, Xiamen University of Technology, Xiamen 361024, China)
Abstract:A uniform convergence proportionate normalized least mean square algorithms is proposed in response to uniform convergence requirement by analyzing the convergence of mean square deviations of variant weights. Another uniform convergence algorithm can also be obtained by improving the proportionate coefficients of PNLMS algorithm. Simulation demonstrates that these proposed algorithms not only maintain the characteristic of rapid initial convergence speed, but also obtain a uniform speed throughout the convergence period, with the same stable error as NLMS algorithms.
Keywords:PNLMS  feedback interference cancellation  uniform convergence
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