论文标题
带有本地化应用程序的Pathloss和TOA无线电图的数据集
Dataset of Pathloss and ToA Radio Maps With Localization Application
论文作者
论文摘要
在本文中，我们介绍了密集的城市环境中的无线电地图数据集的集合，我们将其生成并公开可用。这些数据集包括模拟的Pathloss/接收信号强度（RSS）以及到达的时间（TOA）无线电图，上面有大量逼真的城市地图中的大量逼真的城市环境。提出的数据集的两个主要应用程序是1）学习方法，该方法可以从输入城市地图（即基于深度学习的模拟）中预测路径，以及2）无线本地化。 RSS和TOA地图是通过同一城市地图上相同的模拟计算得出的事实，可以对基于RSS和TOA的本地化方法进行公平的比较。
In this article, we present a collection of radio map datasets in dense urban setting, which we generated and made publicly available. The datasets include simulated pathloss/received signal strength (RSS) and time of arrival (ToA) radio maps over a large collection of realistic dense urban setting in real city maps. The two main applications of the presented dataset are 1) learning methods that predict the pathloss from input city maps (namely, deep learning-based simulations), and, 2) wireless localization. The fact that the RSS and ToA maps are computed by the same simulations over the same city maps allows for a fair comparison of the RSS and ToA-based localization methods.
