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便携式海底综合探测声纳的设计与实验。

Design and Experiments of a Portable Seabed Integrated Detection Sonar.

机构信息

Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China.

College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China.

出版信息

Sensors (Basel). 2021 Apr 9;21(8):2633. doi: 10.3390/s21082633.

DOI:10.3390/s21082633
PMID:33918565
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8069528/
Abstract

The integrated observation of seabed topography, sediment geomorphology and sub-bottom profile information is very important for seabed remote sensing and mapping. To improve the efficiency of seabed detection and meet the needs of portable development of detection equipment, we developed a portable seabed feature integrated detection sonar (PSIDS) with whcih a single sonar device can simultaneously detect the above three types of seabed information. The underwater transducer is mainly composed of the following three components: a parametric emission array as the sound source, a high frequency receiving linear array for multibeam echo signal collection, and a two-dimensional vector hydrophone for receiving the low-frequency sediment echo signal. Field experiments were conducted to validate the performance of the PSIDS on 11-17 January 2018 in Jiaozhou Bay, China. (1) PSIDS could perform the functions of both multibeam sonar and sub-bottom profiler; (2) The synchronously and integrated measurement of various seabed information was achieved by alternately emitting multibeam echo-sounding and sub-bottom profiling signal using parametric source. The detection results proved the feasibility and practicability of PSIDS to achieve multiple seafloor characteristics. PSIDS provides a new idea for developing integrated seabed detection sonar. In terms of convenience and data fusion, it is a good option to use this equipment for integrated seabed detection.

摘要

海底地形、沉积地貌和底中剖面信息的综合观测对海底遥感和制图非常重要。为了提高海底探测效率,满足探测设备便携化发展的需求,我们开发了一种便携式海底特征综合探测声纳(PSIDS),该声纳可通过单个声纳设备同时探测上述三种海底信息。水下换能器主要由以下三个部分组成:参数发射阵列为声源,高频接收线阵用于多波束回波信号采集,二维矢量水听器用于接收低频沉积物回波信号。2018 年 1 月 11 日至 17 日,在中国胶州湾进行了现场试验,验证了 PSIDS 的性能。(1)PSIDS 可以同时执行多波束声纳和底中剖面仪的功能;(2)通过参数源交替发射多波束回声探测和底中剖面信号,实现了各种海底信息的同步和综合测量。探测结果证明了 PSIDS 实现多种海底特征的可行性和实用性。PSIDS 为开发综合海底探测声纳提供了新的思路。在便利性和数据融合方面,使用该设备进行综合海底探测是一个不错的选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/152781d24af7/sensors-21-02633-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/147d93b5f12e/sensors-21-02633-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/0461423d6269/sensors-21-02633-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/ce467d9ed3a4/sensors-21-02633-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/4416c44ade30/sensors-21-02633-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/8cf080bb463a/sensors-21-02633-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/7718b82a0790/sensors-21-02633-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/4bdcbeb68349/sensors-21-02633-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/152781d24af7/sensors-21-02633-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/147d93b5f12e/sensors-21-02633-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/f2ea1e03a700/sensors-21-02633-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/d89a592c85bb/sensors-21-02633-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/c2f606dedcd7/sensors-21-02633-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/e1460024a4ee/sensors-21-02633-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/0461423d6269/sensors-21-02633-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/ce467d9ed3a4/sensors-21-02633-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/4416c44ade30/sensors-21-02633-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/8cf080bb463a/sensors-21-02633-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/7718b82a0790/sensors-21-02633-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/4bdcbeb68349/sensors-21-02633-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/7b80a3bb2545/sensors-21-02633-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb3/8069528/152781d24af7/sensors-21-02633-g013.jpg

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本文引用的文献

1
Design and Implementation of a Real-Time Multi-Beam Sonar System Based on FPGA and DSP.基于FPGA和DSP的实时多波束声纳系统的设计与实现
Sensors (Basel). 2021 Feb 18;21(4):1425. doi: 10.3390/s21041425.
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Smart Ocean: A New Fast Deconvolved Beamforming Algorithm for Multibeam Sonar.智能海洋:多波束声纳的一种新的快速去卷积波束形成算法。
Sensors (Basel). 2018 Nov 17;18(11):4013. doi: 10.3390/s18114013.