声呐系统中海洋生物叫声应用效能分析
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王晓宇(1993-),女,博士生,主要从事海洋传感器监测网络研究

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TN929.3

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国家自然科学基金青年基金“水下无人航行器的移动估计与多源位置信息融合”(62101211),孔雀计划项目“海洋水声无线通信网络技术研究”(KQTD20180411184955957,LHTD20190004);国家重点研发计划“异构潜水器集群与组网关键技术与应用”(2021YFC2803000)


Application Efficiency Analysis of Marine Biological Calls in Sonar System
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    摘要:

    发射信号波形的选择是主动声呐设计过程中必须要考虑的问题之一,不同的信号形式会直接影响声呐的性能。海洋哺乳生物通过叫声实现种群间的通信以及对水下环境的感知,这一常见的生物学行为激发了基于生物叫声的声呐系统的开发。但海洋生物在全球分布广泛并且叫声种类繁多,需要结合声呐系统的设计参数对采集到的叫声进行效能分析,才能在不改变传统声呐设计的基础上拓展仿生隐蔽探测功能。针对这一问题,提出了基于主动声呐信号分析的海洋生物叫声效能分析方案。以采集到的 6 种海豚叫声为例,基于同步压缩变换和贪婪算法重构样本信号,从 5 个维度对声呐系统仿生信号进行了分析。仿真结果表明,该效能评估方案可对海洋生物叫声进行有效筛选,以确定适合声呐系统的信号波形。

    Abstract:

    The selection of transmitting signal waveform is one of the problems that must be considered in the design of active sonar. Different signal forms will directly affect the performance of the sonar. Marine mammals communicate with each other and perceive the underwater environment through calls. This common biological behavior has inspired the development of sonar systems based on biological calls. However,marine organisms are widely distributed around the world and there are many kinds of calls. It is necessary to analyze the effectiveness of the collected calls in combination with the design parameters of the sonar system in order to expand the bionic covert detection function without changing the traditional sonar design. In order to solve this problem,this paper proposes a method to analyze the call efficiency of marine organisms based on active sonar signal analysis. Taking 6 kinds of dolphin calls collected as examples,the bionic signals of the sonar system are analyzed from 5 dimensions based on synchronous compression transform and greedy algorithm to reconstruct sample signals. The simulation results show that the effectiveness evaluation scheme can realize the screening of marine organism calls to determine the signal waveform suitable for sonar system.

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王晓宇,关雯雪,潘晓鹤,等.声呐系统中海洋生物叫声应用效能分析[J].数字海洋与水下攻防,2022,5(6):487-493

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  • 在线发布日期: 2023-01-03
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