哈尔滨工程大学学报2024,Vol.45Issue(5) :910-921.DOI:10.11990/jheu.202312022

海底掩埋目标声探测与识别关键技术进展

Progress on key technologies for acoustic detection and identification of submarine-buried targets

刘梦婷 于盛齐 谢志敏 秦志亮 解闯 郑毅 赵吉祥
哈尔滨工程大学学报2024,Vol.45Issue(5) :910-921.DOI:10.11990/jheu.202312022

海底掩埋目标声探测与识别关键技术进展

Progress on key technologies for acoustic detection and identification of submarine-buried targets

刘梦婷 1于盛齐 2谢志敏 3秦志亮 4解闯 2郑毅 1赵吉祥1
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作者信息

  • 1. 哈尔滨工程大学水声技术重点实验室,黑龙江哈尔滨 150001;海洋信息获取与安全工信部重点实验室(哈尔滨工程大学),黑龙江哈尔滨 150001;哈尔滨工程大学水声工程学院,黑龙江哈尔滨 150001
  • 2. 青岛哈尔滨工程大学创新发展中心,山东青岛 266400
  • 3. 哈尔滨工程大学水声技术重点实验室,黑龙江哈尔滨 150001;海军军事海洋环境建设办公室,北京 100166
  • 4. 哈尔滨工程大学水声技术重点实验室,黑龙江哈尔滨 150001;海洋信息获取与安全工信部重点实验室(哈尔滨工程大学),黑龙江哈尔滨 150001;哈尔滨工程大学水声工程学院,黑龙江哈尔滨 150001;青岛哈尔滨工程大学创新发展中心,山东青岛 266400
  • 折叠

摘要

为了准确呈现海底掩埋目标声探测与识别研究存在的问题与技术难点,推动该领域相关技术的发展,本文主要从探测系统及信号处理技术两方面出发进行研究.首先分析了基于水声探测海底掩埋目标所面临的难点,介绍了国内外掩埋目标声探测与识别系统,然后论述了抗混响、特征提取、目标检测和目标识别等关键技术环节的主要研究进展,最后总结了掩埋目标探测与识别面临的问题和挑战,并对未来发展方向进行了展望.

Abstract

Detection and recognition of submarine-buried targets has always been one of the hot and difficult prob-lems in military research.To accurately present the current problems and technical difficulties in research on under-water buried-target acoustic detection and recognition and promote the development of related technologies in this field,the research mainly focuses on two aspects:detection systems and signal processing technology.First,the difficulties of underwater acoustic detection of buried targets are analyzed,buried-target detection and recognition systems at home and abroad are introduced,and the main research developments of key technical links are dis-cussed,such as anti-reverberation,feature extraction,target detection,and target recognition.Finally,problems and challenges involved in buried-target detection and recognition are outlined,and future development directions are prospected.

关键词

掩埋目标/探测系统/信号处理/水声探测/抗混响/特征提取/目标检测/目标识别

Key words

buried target/detection system/signal processing/underwater acoustic detection/anti-reverberation/feature extraction/target detection/target recognition

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基金项目

高水平引导专项"卡脖子"攻关计划(3072022QBZ2602)

高水平引导专项"0-1"探索计划(3072022TS2610)

出版年

2024
哈尔滨工程大学学报
哈尔滨工程大学

哈尔滨工程大学学报

CSTPCD北大核心
影响因子:0.655
ISSN:1006-7043
参考文献量72
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