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Highly Accurate Log Skew Normal Approximation to the Sum of Correlated Lognormals

机译:高精度对数正态近似与相关和的和   Lognormals

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摘要

Several methods have been proposed to approximate the sum of correlatedlognormal RVs. However the accuracy of each method relies highly on the regionof the resulting distribution being examined, and the individual lognormalparameters, i.e., mean and variance. There is no such method which can providethe needed accuracy for all cases. This paper propose a universal yet verysimple approximation method for the sum of correlated lognormals based on logskew normal approximation. The main contribution on this work is to propose ananalytical method for log skew normal parameters estimation. The proposedmethod provides highly accurate approximation to the sum of correlatedlognormal distributions over the whole range of dB spreads for any correlationcoefficient. Simulation results show that our method outperforms all previouslyproposed methods and provides an accuracy within 0.01 dB for all cases.
机译:已经提出了几种方法来近似相关对数正态RV的总和。但是,每种方法的准确性在很大程度上取决于所检查的结果分布的区域以及各个对数正态参数,即均值和方差。没有这样的方法可以为所有情况提供所需的准确性。本文提出了一种基于对数偏态正态近似的通用但非常简单的相关对数正态和的近似方法。这项工作的主要贡献是提出了一种用于对数偏斜法线参数估计的分析方法。对于任何相关系数,所提出的方法都可以在整个dB扩展范围内对相关对数正态分布的总和提供高度精确的近似值。仿真结果表明,我们的方法优于所有先前提出的方法,并且在所有情况下均提供0.01 dB以内的精度。

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