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On the probability distribution of a moving target. Asymptotic and non-asymptotic results

机译:关于移动目标的概率分布。渐近和非渐近结果

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The problem addressed here is the probability distribution of the position of a moving target, and especially of its distance to the starting point. The trajectory is made of leg segments with random length and random change of direction, and it is assumed that the target has a known constant velocity. Earlier results have been obtained in the literature in the simple case where the change of direction is uniformly distributed on the circle and the length of leg is exponentially distributed. These results are generalized for an arbitrary (non-necessarily uniformly distributed) change of direction and an arbitrary (non-necessarily exponentially distributed) length of leg. Explicit expressions are obtained for the non-asymptotic mean and covariance matrix of the position, and a central limit theorem is obtained for the normalized position, with an explicit expression for the asymptotic variance, hence a limiting Rayleigh distribution for the normalized distance to the starting point.
机译:此处解决的问题是运动目标位置的概率分布,尤其是其到起点的距离的概率分布。该轨迹由具有随机长度和方向随机变化的腿段组成,并且假定目标具有已知的恒定速度。在方向变化均匀地分布在圆上并且腿的长度呈指数分布的简单情况下,文献已经获得了较早的结果。对于任意(不必要地均匀分布)的方向变化和任意(不必要地指数分布)的腿长,这些结果都是通用的。获得位置的非渐近均值和协方差矩阵的显式表达式,并获得归一化位置的中心极限定理,并给出渐近方差的显式表达式,因此,到起点的归一化距离具有极限瑞利分布观点。

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