Passive Acoustic Source Localization at a Low Sampling Rate Based on a Five-Element Cross Microphone Array.
Passive Acoustic Source Localization at a Low Sampling Rate Based on a Five-Element Cross Microphone Array.
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基于五元交叉传声器阵列的低采样率无源声源定位
DOI：
10.3390/s150613326
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发表时间：
2015-06-05
期刊：
影响因子：
--
通讯作者：
Song B
中科院分区：
文献类型：
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作者：
Kan Y;Wang P;Zha F;Li M;Gao W;Song B
在低采样率（小于10 kHz）下的精确声源定位对于小型便携式系统，特别是对于多任务微嵌入式系统仍然是一个具有挑战性的问题。提出了一种基于上采样（US）理论的广义互相关（GCC）方法，并将其定义为US-GCC方法，该方法可以在低采样率下提高到达时间延迟（TDOA）和源定位的精度。在这项工作中，通过US操作，可以将具有一定采样率的输入信号转换为具有更高频率的另一信号。此外，根据定位计算时间和目标位置估计的标准差（SD），推导出用于US操作的最佳插值因子。仿真结果表明，当两种方法的初始采样率均为8 kHz时，插值因子为15的US-GCC方法的源定位绝对误差约为GCC方法的1/15 ~ 1/12;另一方面，本文设计并搭建了一种由五元十字阵传声器阵列组成的小型便携式被动声源定位平台。在所搭建的实验平台上进行的低采样率下的三维近场目标定位实验表明，该方法是可行的。
Accurate acoustic source localization at a low sampling rate (less than 10 kHz) is still a challenging problem for small portable systems, especially for a multitasking micro-embedded system. A modification of the generalized cross-correlation (GCC) method with the up-sampling (US) theory is proposed and defined as the US-GCC method, which can improve the accuracy of the time delay of arrival (TDOA) and source location at a low sampling rate. In this work, through the US operation, an input signal with a certain sampling rate can be converted into another signal with a higher frequency. Furthermore, the optimal interpolation factor for the US operation is derived according to localization computation time and the standard deviation (SD) of target location estimations. On the one hand, simulation results show that absolute errors of the source locations based on the US-GCC method with an interpolation factor of 15 are approximately from 1/15- to 1/12-times those based on the GCC method, when the initial same sampling rates of both methods are 8 kHz. On the other hand, a simple and small portable passive acoustic source localization platform composed of a five-element cross microphone array has been designed and set up in this paper. The experiments on the established platform, which accurately locates a three-dimensional (3D) near-field target at a low sampling rate demonstrate that the proposed method is workable.