Academic Journal

Research on Self-Noise Suppression of Marine Acoustic Sensor Arrays

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