التفاصيل البيبلوغرافية
العنوان: |
Research on Self-Noise Suppression of Marine Acoustic Sensor Arrays |
المؤلفون: |
Haoyu Tan, Guochang Liu, Haoxuan Li, Guojun Zhang, Jiangong Cui, Yuhua Yang, Changde He, Licheng Jia, Wendong Zhang, Renxin Wang |
المصدر: |
Remote Sensing; Volume 14; Issue 24; Pages: 6186 |
بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
سنة النشر: |
2022 |
المجموعة: |
MDPI Open Access Publishing |
مصطلحات موضوعية: |
MEMS, ocean ambient noise, acoustic sensor, vector hydrophone, array, self-noise suppression |
جغرافية الموضوع: |
agris |
الوصف: |
Marine acoustic sensors can detect underwater acoustic information. The cilium micro-electro-mechanical system (MEMS) vector hydrophone (CVH) is the core component of the ocean noise measurement system. The performance of the CVH, especially its self-noise, has received widespread attention. In this paper, we propose a solution to improve the performance of the CVH using an array to detect environmental noise in a complex deep-water environment. We analyzed the self-noise source of the CVH and the noise suppression principle of the four-unit MEMS vector hydrophone (FUVH). In addition, we designed the pre-circuit of the FUVH, completed the cross-beam structure by the MEMS processing, and packaged a FUVH. Then, we tested the performance of a packaged FUVH. Finally, the experimental results show that the FUVH reduces the self-noise voltage power spectrum by 6 dB compared to the CVH structure. The FUVH achieves better linearity at low frequencies without reducing the bandwidth and sensitivity. In addition, it minimizes the equivalent self-noise levels by 5.18 and 5.14 dB in the X and Y channels, respectively. |
نوع الوثيقة: |
text |
وصف الملف: |
application/pdf |
اللغة: |
English |
Relation: |
Ocean Remote Sensing; https://dx.doi.org/10.3390/rs14246186 |
DOI: |
10.3390/rs14246186 |
الاتاحة: |
https://doi.org/10.3390/rs14246186 |
Rights: |
https://creativecommons.org/licenses/by/4.0/ |
رقم الانضمام: |
edsbas.64C46093 |
قاعدة البيانات: |
BASE |