首页> 外文期刊>International journal of modeling, simulation and scientific computing >COMPARISONS OF RAY-TRACING AND PARABOLIC EQUATION METHODS FOR THE LARGE-SCALE COMPLEX ELECTROMAGNETIC ENVIRONMENT SIMULATIONS
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COMPARISONS OF RAY-TRACING AND PARABOLIC EQUATION METHODS FOR THE LARGE-SCALE COMPLEX ELECTROMAGNETIC ENVIRONMENT SIMULATIONS

机译:大型复杂电磁环境模拟的射线追踪和抛物线方程方法的比较

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摘要

It is important for the wireless communication field to conduct research on large-scale complex electromagnetic environment (CEME) simulation. There exist many models for computing CEME simulation, including empirical models, half-empirical or half-deterministic models and deterministic models. Most of these models cannot obtain satisfactory results due to the limitation of the capacity of computers. The ray tracing (RT) and parabolic equation (PE) methods are very suitable for large-scale CEME simulation. Based on the introduction of RT and PE, qualitative comparisons of the two methods are analyzed in view of algorithm theory, the category of the model, solution to the model and the application field, and then four specific indices are focused on to analyze the computational complexity, accuracy, speed and parallelism in details. The numerical experiments are presented by the three-dimensional (3D) RT method employing the software of Wireless InSite (WI) and a quasi-3DPE method using the sliced method. Although both RT and PE methods can achieve high speedup using coarse-grained parallel computing, the experimental results indicate that the PE method can obtain a higher speed than the RT method, and the two methods can acquire an approximate precision. A hybrid procedure using both RT and PE methods can obtain a better result for solving CEME problems.
机译:对无线通信领域进行大规模复杂电磁环境(CEME)仿真研究具有重要意义。存在许多用于计算CEME模拟的模型,包括经验模型,半经验或半确定性模型和确定性模型。由于计算机容量的限制,大多数这些模型无法获得令人满意的结果。射线追踪(RT)和抛物线方程(PE)方法非常适合于大规模CEME模拟。在介绍RT和PE的基础上,结合算法理论,模型类别,模型解和应用领域,对两种方法进行了定性比较,然后重点研究了四个具体指标对计算方法进行了分析。复杂性,准确性,速度和并行性。通过使用Wireless InSite(WI)软件的三维(3D)RT方法和使用切片方法的准3DPE方法,进行了数值实验。尽管RT和PE方法都可以使用粗粒度并行计算实现较高的加速比,但是实验结果表明,PE方法可以获得比RT方法更高的速度,并且这两种方法都可以获得近似的精度。同时使用RT和PE方法的混合过程可以更好地解决CEME问题。

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