Weak Signals Detection by Acoustic Metamaterials-Based Sensor
Weak Signals Detection by Acoustic Metamaterials-Based Sensor
复制标题
基于声学超材料的传感器的微弱信号检测
DOI：
10.1109/jsen.2021.3076860
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发表时间：
2021-08
影响因子：
4.3
通讯作者：
Xia Baizhan
中科院分区：
文献类型：
--
作者：
Chen Tinggui;Yu Dejie;Wu Bo;Xia Baizhan
强背景噪声中微弱声信号的检测在各个研究领域都有着重要的意义。然而，灵敏度的检测极限，即最小可检测压力的检测能力，仍然阻碍了普通声传感器的性能。提出了一种基于声学超材料的微弱信号检测传感器。研究表明，梯度折射率梯形结构可以通过声波压缩效应有效地实现压力场增强。即使在不同厚度的丙烯酸板和测量位置下，声压幅度也可以在最大压力增益频率附近放大20倍以上，这使得实现宽带声学增强成为可能。此外，我们数值模拟表明，谐波和周期性脉冲信号可以检测到更容易的基础上梯度折射率超材料由于声学增强。此外，我们也实验证明，谐波和周期性脉冲信号可以有效地恢复从背景噪声中，由于改善的信噪比（SNR）。实验结果表明，基于声学超材料的传感器可以很好地用于微弱声信号的检测。
Weak acoustic signals detection from heavy background noise plays an important role in different research fields. However, the detection limit, namely the detection capability of minimal detectable pressure, of sensitivity still hinders the performance of ordinary acoustic sensors. We propose an acoustic metamaterials-based sensor for weak signals detection. We show that the trapezoidal structure with gradient refractive index (GRIN) can effectively realize the pressure field enhancement through acoustic wave compression effect. The acoustic pressure amplitudes can be amplified more than 20 times around the maximum pressure gain frequencies even with different thicknesses of acrylic plates and measured positions, which makes it possible to achieve a broadband acoustic enhancement. Moreover, we numerically demonstrate that both harmonic and periodic impulse signals can be detected much easier based on the GRIN metamaterial due to the acoustic enhancement. In addition, we also experimentally demonstrate that harmonic and periodic impulse signals can be effectively recovered from the background noise due to the improved signal to noise ratios (SNRs). All the results indicate that acoustic metamaterials-based sensor can be well used for weak acoustic signals detection.