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基于声偶极子传感器敏感单元失配的指向性束型的定量分析方法和校正算法。

Quantitative Analysis Method and Correction Algorithm Based on Directivity Beam Pattern for Mismatches between Sensitive Units of Acoustic Dyadic Sensors.

机构信息

School of Integrated Circuits, Peking University, Beijing 100871, China.

出版信息

Sensors (Basel). 2023 Jun 19;23(12):5709. doi: 10.3390/s23125709.

DOI:10.3390/s23125709
PMID:37420872
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10301437/
Abstract

Acoustic dyadic sensors (ADSs) are a new type of acoustic sensor with higher directivity than microphones and acoustic vector sensors, which has great application potential in the fields of sound source localization and noise cancellation. However, the high directivity of an ADS is seriously affected by the mismatches between its sensitive units. In this article, (1) a theoretical model of mixed mismatches was established based on the finite-difference approximation model of uniaxial acoustic particle velocity gradient and its ability to reflect the actual mismatches was proven by the comparison of theoretical and experimental directivity beam patterns of an actual ADS based on MEMS thermal particle velocity sensors. (2) Additionally, a quantitative analysis method based on directivity beam pattern was proposed to easily estimate the specific magnitude of the mismatches, which was proven to be useful for the design of ADSs to estimate the magnitudes of different mismatches of an actual ADS. (3) Moreover, a correction algorithm based on the theoretical model of mixed mismatches and quantitative analysis method was successfully demonstrated to correct several groups of simulated and measured beam patterns with mixed mismatches.

摘要

声偶极子传感器 (ADS) 是一种新型的声学传感器，其指向性高于麦克风和声学矢量传感器，在声源定位和噪声消除等领域具有很大的应用潜力。然而，ADS 的高指向性严重受到其敏感单元之间不匹配的影响。在本文中，（1）基于单轴声粒子速度梯度的有限差分近似模型建立了混合失配的理论模型，并通过基于 MEMS 热粒子速度传感器的实际 ADS 的理论和实验指向性波束图的比较证明了其能够反映实际失配的能力。（2）此外，提出了一种基于指向性波束图的定量分析方法，用于方便估计失配的具体幅度，这对于设计 ADS 来估计实际 ADS 的不同失配幅度是有用的。（3）此外，成功地证明了基于混合失配的理论模型和定量分析方法的校正算法可以校正几组具有混合失配的模拟和测量波束图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/5a4fb67acb84/sensors-23-05709-g020.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/5a4fb67acb84/sensors-23-05709-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/6ebade984927/sensors-23-05709-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/c0545318ce1f/sensors-23-05709-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/e24a3df6022f/sensors-23-05709-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/714e8db1060c/sensors-23-05709-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/203471040b1c/sensors-23-05709-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/af0aeed04771/sensors-23-05709-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/88767484fb11/sensors-23-05709-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/355452f5e52a/sensors-23-05709-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/4d3c0847772e/sensors-23-05709-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/fab002e41732/sensors-23-05709-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/7eb4e6eca499/sensors-23-05709-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/f1483b481476/sensors-23-05709-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/5649768787a5/sensors-23-05709-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/c215868e581f/sensors-23-05709-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f85c/10301437/5a4fb67acb84/sensors-23-05709-g020.jpg

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本文引用的文献

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Design and Optimization of Sensitivity Enhancement Package for MEMS-Based Thermal Acoustic Particle Velocity Sensor.基于 MEMS 的热声粒子速度传感器的灵敏度增强组件的设计与优化。
Sensors (Basel). 2021 Jun 24;21(13):4337. doi: 10.3390/s21134337.
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Design of unidirectional acoustic probes with flexible directivity patterns using two acoustic particle velocity sensors.
使用两个声压粒子速度传感器设计具有灵活指向性模式的单向声学探头。
J Acoust Soc Am. 2018 Jul;144(1):EL13. doi: 10.1121/1.5044640.
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J Acoust Soc Am. 2018 Apr;143(4):2041. doi: 10.1121/1.5027844.
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J Acoust Soc Am. 2016 Jun;139(6):EL179. doi: 10.1121/1.4952407.
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Particle velocity gradient based acoustic mode beamforming for short linear vector sensor arrays.基于粒子速度梯度的短线性矢量传感器阵列声学模式波束形成
J Acoust Soc Am. 2014 Jun;135(6):3463-73. doi: 10.1121/1.4876180.
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