论文标题
在模型的情况下，改善基于分区的声学回声取消器
improving partition-block-based acoustic echo canceler in under-modeling scenarios
论文作者
论文摘要
最近，已经提出了一种基于隔离区的频域卡尔曼滤波器（PFKF）以取消声音回声。与正常的频域Kalman滤波器相比，PFKF利用了分区的块结构，从而导致快速收敛和低时长。我们对PFKF的稳态行为进行了分析，发现当滤波器长度不足时，它会遭受偏置的稳态解决方案。因此，我们提出了一种有效的修改，该修改具有保证最佳稳态行为的好处。进行模拟以验证提出方法的提高性能。
Recently, a partitioned-block-based frequency-domain Kalman filter (PFKF) has been proposed for acoustic echo cancellation. Compared with the normal frequency-domain Kalman filter, the PFKF utilizes the partitioned-block structure, resulting in both fast convergence and low time-latency. We present an analysis of the steady-state behavior of the PFKF and found that it suffers from a biased steady-state solution when the filter is of deficient length. Accordingly, we propose an effective modification that has the benefit of the guaranteed optimal steady-state behavior. Simulations are conducted to validate the improved performance of the proposed method.
