Automatic signal processing of forward looking surveillance sonar data in low signal-to-noise ratio conditions
Automatic signal processing of forward looking surveillance sonar data in low signal-to-noise ratio conditions
复制标题
低信噪比条件下前视监视声纳数据的自动信号处理
DOI：
10.1109/wssc.2010.5730260
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
D. Suchman
中科院分区：
文献类型：
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作者：
F. Maeda;A. Asada;E. Maillard;T. Meurling;D. Suchman
近年来，已经开发了几种监视声纳系统，以在港口和海港等沿海沃茨的困难条件下检测入侵者。由于在浅水中，来自底部和表面的人为噪声和混响是显著的，因此检测过程必须消除这种影响才是鲁棒的。而且，水下静止目标具有强反射特性，其回波信号会随时间变化。这些静止物体的行为就好像它们是低速的、机动的、像潜水员一样的目标。因此，它们可能会引起许多错误警报。这些挑战使得在浅海港口实现有效的声纳ADT（自动目标检测和跟踪）变得困难。从2009年开始，我们东京大学的研究小组开发了先进的ADT技术，该技术使用干涉方法减少了误报并提高了检测性能，并使用原始随机框架在困难的SNR条件下提供了改进的目标跟踪性能。RESON和东京大学开始合作研究专用于监视声纳的自动数据处理技术。在本文中，我们提出了一个合作研究项目和目前的R&D状态的概述。基于我们的研究和开发的结果，我们提出了新开发的ADT技术，显着降低虚警率的结果。我们还提出了改善跟踪性能的影响，利用我们的R&D技术的波动的水下目标信号。
In recent years, several surveillance sonar systems have been developed to detect intruders in difficult conditions of coastal waters like ports and harbors. Because man-made noise and reverberation from the bottom and surface are significant in shallow water, the detection process must remove this influence to be robust. Moreover, underwater static objects have strong reflection characteristics, and their echo signal can vary over time. These static objects behave as if they were low-speed, maneuvering, targets like divers. Therefore, they can cause numerous false alarms. These challenges make it difficult to realize an effective sonar-ADT (Automatic target Detection and Tracking) for shallow-coastal harbours. Starting in 2009, our group at the University of Tokyo has developed advanced ADT-techniques that reduces false alarms and improves detection performance using an interferometric method, and delivers improved target-tracking performance under difficult SNR conditions using an original stochastic framework In April 2010, RESON and the University of Tokyo started a collaborative study for automatic data processing techniques dedicated to surveillance sonars. In this paper, we present an overview of the collaborative research project and the current R&D status. Based on the result of our studies and development, we present the results of newly developed ADT techniques that significantly decrease the false alarm rate. We also present improvement of the tracking performance which is influenced by the fluctuations of the underwater target signal using our R&D techniques.