[1]王侠,梁瑞宇,王青云,等.应用于助听器反馈抑制系统的变步长归一化子带自适应滤波算法[J].东南大学学报(自然科学版),2015,45(3):417-422.[doi:10.3969/j.issn.1001-0505.2015.03.001]
　Wang Xia,Liang Ruiyu,Wang Qingyun,et al.Variable step size normalized sub-band adaptive filter algorithm for acoustic feedback cancellation in hearing aids[J].Journal of Southeast University (Natural Science Edition),2015,45(3):417-422.[doi:10.3969/j.issn.1001-0505.2015.03.001]
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应用于助听器反馈抑制系统的变步长归一化子带自适应滤波算法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
45
期数:
2015年第3期
页码:
417-422
栏目:
信息与通信工程
出版日期:
2015-05-20

文章信息/Info

Title:
Variable step size normalized sub-band adaptive filter algorithm for acoustic feedback cancellation in hearing aids
作者:
王侠1; 梁瑞宇2; 王青云2; 唐加能3; 赵力1; 邹采荣1
1东南大学水声信号处理教育部重点实验室, 南京 210096; 2南京工程学院通信工程学院, 南京 211167; 3华侨大学工学院, 泉州 362021
Author(s):
Wang Xia1;  Liang Ruiyu2;  Wang Qingyun2;  Tang Jianeng3;  Zhao Li1;  Zou Cairong1
1Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing 210096, China
2School of Communication Engineering, Nanjing Institute of Technology, Nanjing 211167, China
3College of Engineering, Huaqiao University, Quanzhou 362021, China
关键词:
子带自适应滤波;  声反馈抑制;  助听器;  变步长
Keywords:
sub-band adaptive filter;  acoustic feedback cancellation;  hearing aids;  variable step size
分类号:
TN912.3
DOI:
10.3969/j.issn.1001-0505.2015.03.001
摘要:
为减小自适应滤波算法中较快的收敛速度与较低的失调量之间的矛盾,提出了一种变步长归一化子带自适应滤波(VSS-NSAF)算法,并将其用于助听器声反馈抑制系统.该算法基于滤波器系数短时平均和长时平均之间的归一化距离,将滤波器的更新状态分为收敛状态、过渡状态和平稳状态.滤波器可在不同更新状态下自适应地使用不同步长,收敛状态下使用大步长以保证快速收敛,过渡状态下则使用逐步减小的阶梯状步长以进一步降低失调量,平稳状态下使用小步长以保证系统收敛至稳态解.仿真实验结果表明,与传统的归一化最小均方误差(NLMS)算法及其他子带自适应滤波算法相比,所提算法的收敛速度更快,平均稳态失调量更低.
Abstract:
A variable step size normalized sub-band adaptive filter(VSS-NSAF)algorithm for acoustic feedback cancellation in hearing aids is proposed to alleviate the confliction between the fast convergence rate and the low misalignment in adaptive filter algorithms. In this algorithm, the normalized distance between the short term average and the long term average of the filter coefficients is utilized to classify the filter updating states as convergent state, transitional state and steady state. Different step sizes are employed adaptively in different updating states. A large step size is adopted in the convergent state to ensure fast convergence. In the transitional state, a declining lady-like step size is employed to further lower misalignment. In order to make sure the system can finally converge, a small step size is used in steady state. The simulation results illustrate that compared with the traditional normalized least mean square(NLMS)algorithm and other sub-band adaptive filter algorithms, the proposed algorithm has the faster convergence rate and lower average steady misalignment.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2014-12-31.
作者简介: 王侠(1980—),女,博士生;赵力(联系人),男,博士,教授,博士生导师,zhaoli@seu.edu.cn.
基金项目: 国家自然科学基金资助项目(61273266,61301219,61375028)、教育部博士点基金资助项目(20110092130004)、中央高校基本科研业务费专项资金资助项目(2242013K30010)、江苏省自然科学基金资助项目(BK20130241)、泉州市科技计划资助项目(2014Z103).
引用本文: 王侠,梁瑞宇,王青云,等.应用于助听器反馈抑制系统的变步长归一化子带自适应滤波算法[J].东南大学学报:自然科学版,2015,45(3):417-422. [doi:10.3969/j.issn.1001-0505.2015.03.001]
更新日期/Last Update: 2015-05-20