利用BLUElink预测环境数据改进反潜战声纳性能建模

J. R. Exelby, H. Vu
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引用次数: 0

摘要

水下环境通常是复杂的,并且在空间和时间上高度可变,这使得对反潜战(ASW)声纳系统的探测性能建模变得困难。此外,环境可能导致复杂的主动声呐数据显示,难以解释。通过对水下环境的了解和利用,可以提高声呐系统的性能。本文阐述了如何使用BLUElink海洋模型的相关和及时的环境数据来改进声纳性能建模,并协助声纳操作员解释复杂的声纳数据显示。
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Improving anti-submarine warfare sonar performance modelling using BLUElink forecast environmental data
The underwater environment is often complex and highly variable in space and time, making it difficult to model the detection performance of anti-submarine warfare (ASW) sonar systems. Furthermore, the environment can result in complex active sonar data displays that are difficult to interpret. The performance of the sonar system can be enhanced by understanding and exploiting knowledge about the underwater environment. This paper illustrates how relevant and timely environmental data from the BLUElink ocean model can be used to improve sonar performance modelling and assist the sonar operator interpret complex sonar data displays.
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