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首页> 外文期刊>Audio, Speech, and Language Processing, IEEE/ACM Transactions on >A Simplified Subband ANC Algorithm Without Secondary Path Modeling
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A Simplified Subband ANC Algorithm Without Secondary Path Modeling

机译:无需次级路径建模的简化子带ANC算法

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摘要

Active noise control algorithms without secondary path modeling are very appealing because they can effectively overcome the problems caused by imperfect secondary path model. For broadband noise control, subband structures have been adopted in these kinds of algorithms, where the full-band adaptive filter coefficients are obtained from subband filter coefficients with weight transformation. However, the usually used two-direction search method suffers from slow convergence if the secondary path phase is close to . To deal with this problem, a four-direction search method has been proposed in frequency domain, which is sometimes too complicated for practical applications. In this paper, a simplified algorithm is proposed to reduce the implementation complexity. In the proposed algorithm, the delay of the secondary path is estimated first, and then the estimated delay is used in the delay compensation to reduce the number of subbands. Two reference signals are generated in each subband and two update directions are used. Only one subband reference signal and one update direction are selected to approximate the phase response of the residual secondary path, and then the full-band adaptive controller coefficients are adjusted directly in time domain with them without the need of further weight transformation. Just like those existing subband algorithms, the simplified algorithm can obtain similar steady-state noise reduction performance as that of the FxLMS algorithm but without secondary path modeling. Simulations and experiments are carried out to demonstrate the feasibility of the proposed algorithm.
机译:没有次级路径建模的主动噪声控制算法非常吸引人,因为它们可以有效地克服由不完善的次级路径模型引起的问题。对于宽带噪声控制,在这些类型的算法中已经采用了子带结构,其中通过权重变换从子带滤波器系数中获得全带自适应滤波器系数。但是,如果次级路径相位接近,则通常使用的双向搜索方法会收敛缓慢。为了解决这个问题,已经提出了一种在频域中的四向搜索方法,该方法有时对于实际应用来说太复杂了。本文提出了一种简化算法来降低实现复杂度。在提出的算法中,首先估计辅助路径的延迟,然后将估计的延迟用于延迟补偿以减少子带的数量。在每个子带中生成两个参考信号,并使用两个更新方向。仅选择一个子带参考信号和一个更新方向来近似剩余次级路径的相位响应,然后利用它们直接在时域中调整全带自适应控制器系数,而无需进一步的权重变换。就像那些现有的子带算法一样,简化的算法可以获得与FxLMS算法相似的稳态降噪性能,但无需次级路径建模。通过仿真和实验证明了该算法的可行性。

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