论文标题
城市环境中LOS/NLOS概率的统计近似
Statistical Approximations of LOS/NLOS Probability in Urban Environment
论文作者
论文摘要
视线和非视线（LOS/NLOS）可见性条件的分析是无线通道建模的重要方面。对于统计通道模型，蒙特卡洛模拟通常用于基于特定的LOS概率生成空间一致的可见性态。目前的作品使用距离高和低建筑物密度的城市区域的距离依赖指数功能的混合来解决LOS概率近似问题。提出的模型将站点覆盖面积分为LOS和NLOS区域，该区域通过三角级数和支持矢量分类方法近似。与常用的通用ITU-R和3GPP LOS概率模型相比，与现实世界LOS分布相比，所提出的近似值更为准确。 LOS概率模型的准确性已针对从曼哈顿和旧金山市区的数字建筑数据获得的可见性预测进行了测试。
Analysis of line-of-sight and non-line-of-sight (LOS/NLOS) visibility conditions is an important aspect of wireless channel modeling. For statistical channel models the Monte Carlo simulations are usually used to generate spatially consistent visibility states based on particular LOS probability. The present works addresses LOS probability approximation problem using a mix of distance-dependent exponential functions for urban areas with high and low building densities. The proposed model divides site coverage area into LOS and NLOS zones approximated by trigonometric series and support vector classification methods. Compared to commonly used generic ITU-R and 3GPP LOS probability models the proposed approximation is more accurate compared to real world LOS distributions. The accuracy of LOS probability model has been tested against visibility predictions obtained from the digital building data over Manhattan and San Francisco city areas.
