Frequency-Domain Adaptive Kalman Filter With Fast Recovery of Abrupt Echo-Path Changes
Frequency-Domain Adaptive Kalman Filter With Fast Recovery of Abrupt Echo-Path Changes
复制标题
可快速恢复突然回波路径变化的频域自适应卡尔曼滤波器
DOI：
10.1109/lsp.2017.2718564
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Jun Yang
中科院分区：
文献类型：
--
作者：
FeiranYang;Gerald Enzner;Jun Yang
频域卡尔曼滤波器（FDKF）由于具有快速的初始收敛性和对双频的鲁棒性，成功地应用于回波抵消系统中。然而，FDKF的再收敛能力在文献中并没有得到全面的解决和分析。本文给出了预测系统距离的稳态解和FDKF的相应步长，发现它与信噪比和过渡参数有关。在此基础上指出，当回波路径发生突然变化时，频域频域kf出现缓慢的再收敛，主要原因是噪声功率谱密度估计过高。最后，我们提出了一种阴影滤波方法来解决算法缺乏再收敛性的问题。回声消除的计算机仿真结果验证了该方法的有效性。
The frequency-domain Kalman filter (FDKF) was successfully applied in echo-cancelation systems due to its fast initial convergence and robustness to double-talk. However, the reconvergence ability of the FDKF was not comprehensively resolved and analyzed in the literature. This letter presents the steady-state solutions of the predicted system distance and corresponding step size of the FDKF, which is found to be related to the signal-to-noise ratio and the transition parameter. On this basis, it is pointed out that a frequently observed slow reconvergence of the FDKF, when the sudden echo-path change occurs, can be mainly attributed to the over-estimated noise power spectral density. Finally, we propose a shadow filter approach to resolve the algorithm's lack of reconvergence. Computer simulations of acoustic echo cancelation confirm the improved performance of the proposed method.