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Automated Association of Narrowband Signatures with Broadband Tracking in Passive Underwater Surveillance Systems

机译:被动水下监视系统中窄带签名与宽带跟踪的自动关联

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Underwater surveillance systems use passive sensor arrays for detection, classification and tracking of both surface and subsurface targets. A passive sensor array in a linear or circular configuration is used to detect and track targets with acoustic radiations into water i.e. frequency lines, machinery and propulsion noises, commonly known as narrowband signatures. Narrowband processing is responsible for analysis and classification of target's acoustic signatures. Broadband processing provides information about target's bearing, amplitude and its movement with time. Target bearing history along with detailed analysis of its narrowband signatures are valuable information for any underwater surveillance system. This paper presents an automated approach for association of narrowband signatures with broadband tracking that relates the frequency lines to the corresponding bearings common to a single target. The proposed methodology requires the system operator to select a target's frequency lines and the association algorithm automatically starts tracking the corresponding bearings on the bearing-time history display. This automated association approach provides several advantages such as resolving crossing targets scenario, facilitating target motion analysis, and improving the response time of system operators.
机译:水下监视系统使用无源传感器阵列对地表和地下目标进行检测,分类和跟踪。线性或圆形配置的无源传感器阵列用于检测和跟踪带有声辐射的目标,这些声辐射进入水中,即通常被称为窄带信号的频率线,机械和推进噪声。窄带处理负责对目标的声学特征进行分析和分类。宽带处理可提供有关目标方位,振幅及其随时间变化的信息。目标方位的历史以及对其窄带特征的详细分析对于任何水下监视系统都是有价值的信息。本文提出了一种将窄带信号与宽带跟踪相关联的自动化方法,该方法将频率线与单个目标共有的相应方位相关联。所提出的方法需要系统操作员选择目标的频率线,并且关联算法会自动开始在方位时间历史显示上跟踪相应的方位。这种自动关联方法具有多个优势,例如解决交叉目标场景,促进目标运动分析以及缩短系统操作员的响应时间。

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