孙显彬^1,2,3, 郑轶², 于非³
1.山东省科学院海洋仪器仪表研究所, 山东 青岛 266001;2.青岛理工大学 机械工程学院, 山东 青岛 266033;3.中国科学院海洋研究所, 山东 青岛 266071

摘要:
以多传感器信息融合理论为指导，结合现代信息处理技术与数据驱动建模及科学计算技术，研究浅海超低频声源目标激发共存地震波的复合声场中超低频声波传播特性和数据驱动建模的水下目标深度识别等关键技术，并论证了技术实现方案及路径。结果表明：以复合矢量水听器、地震波监测仪等多传感器信息融合理论为指导研究前海超低频声源目标可以克服传统声场建模存在的问题，有助于浅海超低频声源目标探测及改善海洋水下声学监测手段。在提高声呐探测设备的测量准确度、精度方面具有重要的理论意义，对周边海域为浅海的我国海防具有实战价值。
关键词:多源信息融合浅海超低频目标探测
DOI：10.11759/hykx20180511001
分类号:O427.1
基金项目:山东省自主创新重大关键技术项目（2014GJJS0101）；山东省自然科学基金项目（ZR2013DM014）

Research on techniques in ultra-low-frequency source target detection in shallow seas based on multi-source information fusion
SUN Xian-bin^1,2,3, ZHENG Yi², YU Fei³
1.Institute of Oceanographic Instrumentation, Shandong Academy of Sciences, Qingdao 266001, China;2.School of Mechanical Engineering, Qingdao Technological University, Qingdao 266033, China;3.Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
Abstract:
Guided by multi-sensor information fusion theory and combined with modern information processing technology, data-driven modeling, and scientific computing technology, in this paper, we study key techniques including determining the super-low-frequency acoustic propagation characteristics of a complex acoustic field and recognizing underwater target depths using data-driven modeling. We also describe the schemes and paths of these technologies. Our results reveal that earlier research on ultralow/low frequency acoustic source targets can overcome the problems in traditional acoustic field modeling, and are helpful in detecting shallow-sea ultralow acoustic source targets and improving the underwater acoustic monitoring method. This work has important theoretical significance for improving the measurement accuracy and precision of Sonar detection equipment, and has practical value for China's coastal defense in shallow sea areas.
Key words:multi-source information fusionshallow seasultra-low-frequencytarget detection





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