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An Importance Sampling Method for Monte-Carlo Integration Model for Ultraviolet Communication

机译:蒙特卡洛紫外通信模型集成的重要抽样方法

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This paper improves the Monte-Carlo integration model for multiple scattering channel of ultraviolet communication. An importance sampling method is introduced to improve the convergence speed of the original Monte-Carlo integration model. We compare the convergence speed and calculation speed of the proposed Monte-Carlo integration model based on importance sampling, the original Monte-Carlo integration model based on uniform sampling and a widely used Monte-Carlo simulation model. Simulation results show that the computation efficiency of the proposed model is about 9.6 times of the original Monte-Carlo integration model and is about 4.35 times of the Monte-Carlo simulation model.
机译:本文改进了紫外通信多散射通道的蒙特卡洛积分模型。为了提高原始蒙特卡洛积分模型的收敛速度,引入了重要性采样方法。我们比较了基于重要性抽样的拟议蒙特卡洛积分模型,基于均匀抽样的原始蒙特卡洛积分模型和广泛使用的蒙特卡洛仿真模型的收敛速度和计算速度。仿真结果表明,该模型的计算效率约为原始蒙特卡洛积分模型的9.6倍,约为蒙特卡洛仿真模型的4.35倍。

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