Perfect-sweep NLMS for time-variant acoustic system identification
Perfect-sweep NLMS for time-variant acoustic system identification
复制标题
用于时变声学系统识别的完美扫描 NLMS
DOI：
10.1109/icassp.2012.6287930
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Gerald Enzner
中科院分区：
文献类型：
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作者：
C. Antweiler;A. Telle;P. Vary;Gerald Enzner
由于声学系统典型的时变特性和电声测量设备的自然性能限制，快速、鲁棒的声学系统识别仍然是一个令人感兴趣的研究课题。在本文中，我们提出了具有完美扫描激励的 NLMS 型自适应识别。完美扫描源自更一般的完美序列类，因此，它继承了周期性，尤其是从完美序列已知的所需去相关属性。此外，完美扫描显示了扫描正弦信号在抗非线性扬声器失真方面的理想特性。在此基础上，我们首先通过计算机生成的时变声学系统模拟来证明完美扫描NLMS算法的快速跟踪能力。然后，提出了完美扫描 NLMS 算法在时不变情况下针对实际测量的非线性特征的鲁棒性。通过最终解决准连续头部相关脉冲响应的测量问题，我们在实际应用场景中面临时变和可能非线性失真声学系统识别的综合挑战，并且我们可以证明完美扫描 NLMS 算法的优越性。
Fast and robust acoustic system identification is still a research topic of interest, because of the typically time-variant nature of acoustic systems and the natural performance limitation of electroacoustic measurement equipment. In this paper, we propose NLMS-type adaptive identification with perfect-sweep excitation. The perfect-sweep is derived from the more general class of perfect sequences and, thus, it inherits periodicity and especially the desired decorrelation property known from perfect sequences. Moreover, the perfect-sweep shows the desirable characteristics of swept sine signals regarding the immunity against non-linear loudspeaker distortions. On this basis, we first demonstrate the fast tracking ability of the perfect-sweep NLMS algorithm via computer generated simulation of a time-variant acoustic system. Then, the robustness of the perfect-sweep NLMS algorithm against non-linear characteristics of real measurements in a time-invariant case is presented. By finally addressing the measurement of quasi-continuous head-related impulse responses, we face the combined challenge of time-variant and possibly non-linear distorted acoustic system identification in a real application scenario and we can demonstrate the superiority of the perfect-sweep NLMS algorithm.