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

U. Hamid, A. Tahir, Shahid Ali, Syed Ali Abbas
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引用次数: 1

Abstract

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.
无源水下监视系统中窄带信号与宽带跟踪的自动关联
水下监视系统使用无源传感器阵列来探测、分类和跟踪水面和水下目标。线性或圆形配置的无源传感器阵列用于探测和跟踪具有声辐射到水中的目标,即频率线,机械和推进噪声,通常称为窄带特征。窄带处理负责对目标的声特征进行分析和分类。宽带处理提供了目标方位、振幅和随时间运动的信息。目标方位历史及其窄带特征的详细分析对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特征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轴承相关联。提出的方法要求系统操作员选择目标的频率线,关联算法自动开始跟踪在方位时间历史显示上相应的方位。这种自动关联方法具有解决交叉目标场景、促进目标运动分析和提高系统操作员响应时间等优点。
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