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Detection of High Frequency Sources in Random/Uncertain Media

机译:在随机/不确定媒体中检测高频源

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The results of this paper show how randomness and/or uncertainty of medium, boundary conditions, source characterization, and source and receiver motion affects the probability of detection of a narrow band, high frequency source. Using ray acoustic model, we derive expressions for loss of time coherency and its dual, spectral spreading that is caused motion through a medium with random boundary conditions and inhomogeneities. Spectral spreading decreases probability of detection of a narrowband signals. In this analysis both the usual knowledge and the essential uncertainty are incorporated into problem formulation by separating propagation models and boundary conditions into deterministic and random parts. Maximum entropy method (MEM) is used to incorporate essential uncertainty into model. Maximum entropy method uses what is known in its model, but models what is not known with maximum uncertainty. It does not make any unwarranted assumptions about unknown parameters. MEM is used to calculate confidence intervals and mean values of receiver operating characteristics of high-frequency passive and active sonar detectors when signal to noise ratio is a random variable.
机译:本文的结果显示了媒体,边界条件,源表征和源和接收机运动的随机性和/或不确定性如何影响窄带,高频源的检测概率。使用射线声学模型,我们推出表达式,以丢失时间一致性及其双光谱扩展,这是通过具有随机边界条件和不均匀性的介质的运动。光谱扩频降低了检测窄带信号的概率。在该分析中,通常通过将传播模型和边界条件分成确定性和随机部件来纳入常规知识和必要的不确定性。最大熵方法(MEM)用于将必要的不确定性结合到模型中。最大熵方法使用其模型中所知的内容,但模拟了最大不确定性未知的内容。它没有对未知参数的任何无责任的假设。 MEM用于计算当信噪比是随机变量时高频无源和有源声纳检测器的接收器操作特性的置信区间和平均值。

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