Volume 4, Number 5, 2020
|Number of page(s)||9|
|Published online||02 October 2020|
A miniaturized acoustic vector sensor with PIN-PMN-PT single crystal cantilever beam accelerometers
Agency for Defense Development, POB 18, 40, Baekgu-ro, Jinhae-gu, Changwon-si, Gyeongsangnam-do 51678, South Korea
2 School of Mechanical Engineering, Pusan National University, Busandaehak-ro 63, Geumjeong-gu, Busan 46241, South Korea
* Corresponding author: firstname.lastname@example.org
Accepted: 28 August 2020
Directional sound detection using vector sensors rather than large hydrophone arrays is highly advantageous for target detection in SONAR. However, developing highly sensitive and compact vector sensors for use in a system whose size is limited has been a challenging issue. In this paper, we describe a miniaturized acoustic vector sensor with piezoelectric single crystal accelerometers for the application in towed line arrays. A mass-loaded cantilever beam accelerometer with a  poled PIN-PMN-PT single crystal shows a better signal-to-noise ratio compared to accelerometers with other piezoelectric materials because of its superior piezoelectric properties in the 32 direction. We suggested a sufficiently compact vector sensor by using a cylindrical hydrophone with 10 mm in diameter as a housing of the single crystal accelerometers. Two single crystal accelerometers were orthogonally mounted inside the cylindrical hydrophone to detect direction of sound in the transverse plane of the line array. The receiving voltage sensitivity of the accelerometers and hydrophone was −199 and −196 dB, respectively, at 3 kHz. The directional cardioid beams generated by summing the omnidirectional beam from the hydrophone and the dipole beam from the accelerometers were validated over the entire operating frequency.
Key words: Inertial vector sensors / Cantilever beam accelerometers /  poled PIN-PMN-PT / Directional hydrophones / Towed line arrays
© Y. Cho et al., Published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.