声学
水听器
窄带
全向天线
微电子机械系统
噪音(视频)
方位角
水下
信号(编程语言)
计算机科学
材料科学
物理
光学
天线(收音机)
电信
地质学
海洋学
图像(数学)
人工智能
程序设计语言
光电子学
作者
Fabio Alves,Justin Ivancic
出处
期刊:Journal of the Acoustical Society of America
[Acoustical Society of America]
日期:2023-10-01
卷期号:154 (4_supplement): A210-A210
摘要
A narrowband underwater vector sensor using microelectromechanical (MEMS) systems is demonstrated. A combination of two pressure gradient MEMS sensors and an omnidirectional hydrophone allows for determination of the direction of arrival (DOA) of income sound over 360 degrees azimuth. The MEMS sensors, inspired on the hearing system of the Ormia-ochracea fly, consist of two wings connected by a bridge and anchored to the substrate by a tortional bean. They are operated with open back to allow a cosine dependence with the angle of incidence in the predominant bending vibrational mode. In the vector sensor, two MEMS sensors are orthogonally arranged to provide a cosine and sine directional pattern. When combined with an omnidirectional hydrophone that shares the same phase center, an arctangent estimator is used for DOA determination. The MEMS sensors are operated near resonance to filter out noise coming from undesired bands and improve the signal-to-noise ratio. A correction algorithm is applied to compensate frequency response differences. Two configurations have been demonstrated with the MEMS sensors enclosed in silicone oil and in air. The standard deviation of the measured DOA error has been computed for both configurations to be less than 5 degrees for various types of sound stimuli.
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