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

机译:用于紫外线通信的Monte-Carlo集成模型的重要性抽样方法

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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:本文改善了多种散射通道的Monte-Carlo集成模型。引入了一种重要的采样方法来提高原始Monte-Carlo集成模型的收敛速度。基于均匀采样的原始Monte-Carlo集成模型和广泛使用的Monte-Carlo仿真模型,比较提出的蒙特卡罗集成模型的收敛速度和计算速度。仿真结果表明,拟议模型的计算效率约为原始Monte-Carlo集成模型的9.6倍,是Monte-Carlo仿真模型的4.35倍。

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