| 陆悠南,崔杰,肖灵.应用于助听器反馈抑制的信噪比自适应滤波算法*[J].,2022,41(6):867-874 |
| 应用于助听器反馈抑制的信噪比自适应滤波算法* |
| Adaptive directivity algorithm for hearing aids feedback cancellation based on signal-to-noise ratio |
| 投稿时间：2021-09-08 修订日期：2022-03-24 |
| 中文摘要: |
| 针对基于自适应滤波器的助听器反馈抑制系统，本文提出了一种基于信噪比的归一化最小均方误差算法，采用最小值统计法估计误差信号的噪声分量，从而计算出误差信号的信噪比来计算自适应滤波系数的更新步长。当误差信号信噪比越高，语音占主要成分，信号的相关性越强，此时将滤波器的更新步长控制在较小值，减小滤波器的失调量。当信噪比越低时，噪声占主要成分，信号的相关性相对较弱，更新步长取较大值，加快滤波器的收敛速度。在仿真实验中，本文提出的基于信噪比的归一化最小均方误差算法相较于传统算法在平均稳态失调量和稳态失调范围上分别低1dB和2dB，其最大稳态增益提高了4dB，同时具有更快的稳态收敛速度，验证了本文提出算法的有效性。 |
| 英文摘要: |
| Aiming at the hearing aid feedback cancellation system based on the adaptive filter, a normalized minimum mean-square algorithm based on Signal to Noise Ratio（SNR）is proposed, which uses the minimum statistical method to calculate the noise component of the error signal and calculate Signal to Noise Ratio of error signal to construct the update step size of the adaptive filter coefficient. When the SNR of the error signal is higher, the voice is the main component. With the correlation of the signal is stronger, the maladjustment of the adaptive filter is larger. At this time, the update step size of the filter is controlled to a small value to reduce the maladjustment of the filter. When the SNR is lower, the noise is the main component and the correlation of the signal is relatively weak. At this time, the update step size takes a larger value to accelerate the convergence speed of the filter. In the simulation experiment, normalized minimum mean-square algorithm based on Signal to Noise Ratio proposed in this paper is 1dB and 2dB lower than the traditional algorithm in the mean steady-state misalignment and the steady-state misalignment range respectively, and the maximumsteady-state gain is increased by 4dB, simultaneously the convergence speed is faster than that, which verifies the effectiveness of the algorithm proposed in this paper. |
| DOI：10.11684/j.issn.1000-310X.2022.06.003 |
| 中文关键词: 助听器 反馈抑制 自适应滤波 信噪比 |
| 英文关键词: hearing aids feedback cancellation adaptive filter Signal to Noise Ratio |
| 基金项目:国家重点研发计划(2020YFC2004004) |
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