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主动声纳检测技术的回顾与展望

Review and prospect of active sonar detection techniques

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【作者】 刘贯领凌国民严琪

【Author】 LIU Guan-ling,LING Guo-min,YAN Qi(Hang Zhou Applied Acoustics Research Institute,Hang Zhou,310012,China)

【机构】 杭州应用声学研究所杭州应用声学研究所 杭州310012杭州310012

【摘要】 由于低噪声隐身型潜艇的出现,声纳技术面临着激烈的挑战,低频主动声纳及其信号检测技术成为水声领域的研究热点之一。但是浅海的工作环境对主动探测相当不利,如何利用信道和背景干扰的特点,改进检测性能是研究的重点。模基处理、广义匹配滤波、混响消除、组合信号和波形融合处理、DLCT一体化处理等等技术在不同的方面能发挥一定的改进作用。对这些主动声纳检测技术的回顾与梳理,将为开展该领域研究工作提供一些有益的参考。随着人们对海洋环境理解的深入以及更准确、稳健性更好的水声模型建立,各种模基检测算法将被逐步应用到工程中。在此之前,诸如RCI/SRC这类介于模基和非模基之间的检测方法,由于其具有良好的稳健性、可移植性以及优于常规检测方法等优点,有望率先在工程中获得应用。同时,这些方法的组合应用,比如组合信号与波形融合、SRC/RCI相结合等,也就有较强的现实可操作性。

【Abstract】 Emergence of low radiation stealthy submarines poses a serious challenge to conven-tional sonar detection techniques.As an effective countermeasure,low frequency active sonar and the related detection techniques have become a research focus.In the complex and hostile opera-ting environments,active sonar detection faces serious difficulties.As a result,much attention has been given to the improvement of detection performance by exploiting underwater channel charac-teristics and/or background interferences.Promising results have been obtained.Techniques such as model-based processing,generalized matched filtering,reverberation elimination,combined signals and waveform fusion provide significant performance gain.With a better understanding of ocean environments,more precise and robust acoustic models are established.Model-based detection tech-niques will find their ways to practical applications.Before that happens,quasi model-based tech-niques such as RCI/SRC will be applied first due to the modest improvement over the classical detection methods,and the merits such as robustness,portability and ease of implementation.Mean-while,combination of these techniques,e.g.,combination of combined signal and waveform fusion,and SRC/RCI,etc.,are also feasible.

【关键词】 主动声纳检测技术浅海海域回顾展望
【Key words】 active sonardetection techniqueslittoral watersreviewprospect
  • 【文献出处】 声学技术 ,Technical Acoustics , 编辑部邮箱 ,2007年02期
  • 【分类号】TB566
  • 【被引频次】65
  • 【下载频次】1341
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