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Probability distribution of low-altitude propagation loss from radar sea clutter data

机译:雷达海杂波数据的低空传播损耗概率分布

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摘要

This paper describes the estimation of propagation loss and its statistical properties on the basis of observations of radar sea clutter data. This problem is solved by first finding an ensemble of relevant refractivity model parameters, and each refractivity model is weighted according to its data likelihood function. A parabolic equation propagation model is used both in mapping from environmental model to radar clutter data and also when mapping to propagation loss. Two different methods are then used for mapping from a statistical description of refractivity parameters to a statistical description of propagation loss. In the first approach, all of the sampled models explored in the inversion are used to give a statistical description of propagation loss. Alternatively, the environmental model is sampled from the probability for the refractivity model parameters and then mapped into propagation loss. This can be done efficiently if we are using the one-dimensional marginal distributions instead of the full distribution for the environmental parameters.
机译:本文基于对雷达海杂波数据的观测,描述了传播损耗的估计及其统计特性。通过首先找到一组相关的折射率模型参数来解决此问题,然后根据其数据似然函数对每个折射率模型进行加权。抛物线方程传播模型不仅用于从环境模型到雷达杂波数据的映射中,而且还用于映射到传播损耗时。然后使用两种不同的方法将折射率参数的统计描述映射到传播损耗的统计描述。在第一种方法中,将反演中探索的所有采样模型用于给出传播损耗的统计描述。或者,从折射率模型参数的概率中采样环境模型,然后将其映射到传播损耗中。如果我们使用一维边际分布而不是环境参数的完整分布,则可以有效地做到这一点。

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