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MODELING THE EFFECTIVENESS OF TOOLS TO ASSIST SONAR OPERATORS

机译:建模辅助声纳操作员的效率

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The task of building the underwater picture from sonar data is made complex by high volumes of noise and multiple data that arrive from a variety of acoustic sources detected at great distances by modern, sonar equipment. Typically, acoustic sources from ships have a complex spectrum consisting of several base frequency components and related harmonics. The task for operators is to analyse the data to determine if there is a pattern that represents the signature of a known source, thereby leading to identification of a vessel. Since the task can be highly labour intensive automated decision aids may be of value to the operator. This project addresses how to predict and optimise the impact of new technologies in system re-design by using a modeling/simulation approach to operator-system functionality. A generic sonar analysis process was simulated and the effectiveness of a decision aid evaluated. The improvement in performance predicted by the aid was then validated experimentally.
机译:由声纳数据构建水下图像的任务变得复杂,这是因为大量的噪声和来自现代声纳设备在很远距离检测到的各种声源发出的多个数据。通常,来自船上的声源具有复杂的频谱,该频谱由几个基本频率分量和相关的谐波组成。操作员的任务是分析数据,以确定是否存在代表已知来源签名的图案,从而导致船只的识别。由于该任务可能是高度劳动密集型的,因此自动化决策辅助对于操作员可能很有价值。该项目解决了如何通过使用针对操作员系统功能的建模/仿真方法来预测和优化新技术在系统重新设计中的影响。模拟了通用声纳分析过程,并评估了决策辅助工具的有效性。然后通过实验验证了该辅助工具所预测的性能改善。

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