基于SWU算法的西北多山地区GSM-R无线传播模型研究

Research on SWU Algorithm-based GSM-R Radio Propagation Model for Mountainous Areas of Northwest China

针对西北多山地形场景下的GSM-R关键技术展开研究,对大尺度区域铁路无线电波传播进行建模,提出一种基于滑动窗口合并算法(SWU)的衍射改进算法。首先,对覆盖区域进行栅格化处理,并利用IDW算法和数字高程数据DEM获取“点—点”链路的高程值;在此基础上,基于SWU衍射改进算法进行无线信号场强计算;最后,利用Leaflet.js、HTML5和Vue3.js等WebGIS技术,实现了铁路场景无线信号覆盖预测的可视化仿真。结果表明:SWU衍射改进算法能够对复杂电磁环境下的电波覆盖空间分布特征进行建模和场强精确预测,从而为铁路无线通信系统的规划、运维管理提供可靠、便捷的技术支撑。

The key technology for GSM-R system in the mountainous terrain, northwest China has been studied. This paper focused on radio propagation modelling and proposed an improved diffraction algorithm based on the sliding window union(SWU) algorithm. Firstly, the coverage area was rasterized and the elevation data of point-to-point link was obtained by using IDW algorithm and digital elevation data. Then, the signal field strength was calculated based on the SWU algorithm. Finally, the visual simulation of the wireless signal coverage prediction in the railway scene was realized by using WebGIS, LeafLet.js, JavaScript and HTML5. The results show that the improved SWU diffraction algorithm achieves better performance in the process of modeling, prediction, analyzation and visualization of railway wireless signal coverage in the complex electromagnetic environments. It has significant application value and provides strategic support for the planning, operation and maintenance management of railway wireless communication systems.