基于圆柱抛物方程的城市环境电波预测模型
Urban Environmental Radio Wave Prediction Model Based onCylindrical Parabolic Equation
  
DOI:
中文关键词:  三维重建技术,圆柱抛物方程,城市环境,电磁建模,电波传播
英文关键词:3-D solid reconstruction technique, cylindrical parabolic equation, urban environment, electromagnetic modeling, radio wave propagation
基金项目:国家自然科学基金(61801405)
作者单位
汪路遥,冯 菊,张东民,曹 熙,欧阳琪翔 西南交通大学 电磁场与微波技术研究所, 成都 610031 
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中文摘要:
      提出了一种三维实体重建技术与柱坐标抛物方程结合的城市环境电波传播预测方法。从数字地图 中提取城市建筑物高程矢量数据,建立立体光刻文件的拓扑数据结构,将其转化为抛物方程模型对应的扇形栅格数 据,实现城市建筑群的三维几何模型重构。同时结合聚类算法并利用城市影像信息对地表环境进行分类,对不同类 型的地表媒质赋予不同电磁参数,实现真实城市环境下同时包含建筑物信息和地表媒质参数的一体化电磁建模。 最后,采用分步傅里叶圆柱坐标系抛物方程法,对三维城市环境中电波的传播特性进行仿真分析。数值计算结果表 明,相较于传统经验模型,该方法能够考虑电波的反射、折射和衍射效应,可准确预测真实城市环境下的电波传播规 律,且具有较高计算效率。本模型可为无线网络规划、电磁频谱地图构建等提供指导。
英文摘要:
      In this paper, a 3-D solid reconstruction technique combined with cylindrical coordinate parabolic equation is proposed to predict urban environmental radio wave propagation. The vector data of urban building elevation is extracted from the digital map, and the topological data structure of the Stereolithography file is established, which is converted into the fan-shaped raster data corresponding to the parabolic equation model, so as to realize the reconstruction of the 3-D geometric model of urban buildings. At the same time, combined with clustering algorithm and using urban image information to classify the surface environment, different electromagnetic parameters are assigned to different types of surface media, so as to realize integrated electromagnetic modeling in real urban environment that includes both building information and surface media parameters. Finally, the wave propagation characteristics in 3-D urban environment are simulated and analyzed by using the Split Step Fourier method. The numerical results show that compared with the traditional empirical model, this method can take into account the reflection, refraction and diffraction effects of radio waves, and can accurately predict the law of radio waves propagation in real urban environment, and has a higher computational efficiency. This model can provide guidance for wireless network planning and electromagnetic spectrum map construction.
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