Performance analysis of microphone array methods
Performance analysis of microphone array methods
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DOI：
10.1016/j.jsv.2017.04.030
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发表时间：
2017-08
影响因子：
4.7
通讯作者：
G. Herold;E. Sarradj
中科院分区：
文献类型：
--
作者：
G. Herold;E. Sarradj
麦克风阵列方法旨在表征多个同时工作的声源。然而，现有的数据处理算法在应用于相同的输入数据时产生不同的结果。本文介绍了一种估计这类算法可靠性的方法。使用蒙特卡罗模拟，生成具有所选参数的随机变化的数据集。采用四种不同的麦克风阵列方法对模拟数据集进行分析。将计算结果与预期结果进行了比较，并量化了可靠性对几个参数的依赖关系。结果表明，一种方法的性能不仅取决于给定源的分布，而且不同方法对不完全输入数据的敏感性也不同。
Microphone array methods aim at the characterization of multiple simultaneously operating sound sources. However, existing data processing algorithms have been shown to yield different results when applied to the same input data. The present paper introduces a method for estimating the reliability of such algorithms. Using Monte Carlo simulations, data sets with random variation of selected parameters are generated. Four different microphone array methods are applied to analyze the simulated data sets. The calculated results are compared with the expected outcome, and the dependency of the reliability on several parameters is quantified. It is shown not only that the performance of a method depends on the given source distribution, but also that the methods differ in terms of their sensitivity to imperfect input data.