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Optimal search strategy for a three-dimensional randomly located target

机译:三维随机定位目标的最佳搜索策略

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In this paper, we formulate a new search model that finds a three-dimensional randomly located target in a known zone by a single searcher. The searcher wishes to find the target's position, that is given by the value of the three independent trivariate random variables (X, Y, Z) and they have joint symmetric probability density function f(x, y, z). The purpose is to obtain an optimal search strategy that minimises the expected value of the time required to detect the target, assuming trivariate standard normal distributed estimates of its position. An illustrative example is given to demonstrate the applicability of this technique.
机译:在本文中,我们制定了一个新的搜索模型,该搜索模型通过单个搜索者在已知区域中找到三维随机定位的目标。 搜索者希望找到目标的位置,这是由三个独立的速降随机变量(x,y,z)的值给出的,它们具有联合对称概率密度f(x,y,z)。 目的是获得最佳的搜索策略,可以最大限度地减少检测目标所需的预期值,假设其位置的速降标准正常分布式估计。 给出了说明性示例来证明该技术的适用性。

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