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基于超弱光纤布拉格光栅分布式声传感器的麦克风阵列声源到达方向估计方法

Sound source direction-of-arrival estimation method for microphone array based on ultra-weak fiber Bragg grating distributed acoustic sensor.

作者信息

Luo Zhihui, Lu Bo, Huang Jianglou, Ran Changyan, He HuiLing

出版信息

Opt Express. 2023 Sep 11;31(19):31342-31353. doi: 10.1364/OE.498027.

DOI:10.1364/OE.498027
PMID:37710656
Abstract

A sound source direction-of-arrival (DOA) estimation method for microphone array based on ultra-weak fiber Bragg grating (UW-FBG) distributed acoustic sensor is proposed. The principle of acoustic signal demodulation is introduced, the sound pressure sensitivity and frequency response range of a single UW-FBG microphone are analyzed, and a series linear array with three UW-FBG microphones is designed. Combined with convolutional recurrent neural networks, the DOA estimation method is developed. Log-Mel spectral features and SCOT/PHAT joint weighting generalized cross correlation features are used for DOA estimation. The corresponding system is established and experimentally verified. Results show that the measured sound pressure sensitivity of the UW-FBG microphone is in the range of 0.1032-3.306 rad/Pa within the frequency range of 1000-3000 Hz, and the peak sound pressure sensitivity is about 3.306 rad/Pa. The estimated mean error of 2D DOA estimation is about 2.85°, and the error of 3D DOA estimation is about 5.465°. This method has good application prospects in distributed sound source localization.

摘要

提出了一种基于超弱光纤布拉格光栅(UW-FBG)分布式声学传感器的麦克风阵列声源到达方向(DOA)估计方法。介绍了声信号解调原理,分析了单个UW-FBG麦克风的声压灵敏度和频率响应范围,并设计了一种由三个UW-FBG麦克风组成的串联线性阵列。结合卷积递归神经网络,开发了DOA估计方法。采用对数梅尔谱特征和SCOT/PHAT联合加权广义互相关特征进行DOA估计。建立了相应系统并进行了实验验证。结果表明,UW-FBG麦克风在1000-3000Hz频率范围内测得的声压灵敏度在0.1032-3.306rad/Pa范围内,峰值声压灵敏度约为3.306rad/Pa。二维DOA估计的估计平均误差约为2.85°,三维DOA估计的误差约为5.465°。该方法在分布式声源定位中具有良好的应用前景。

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