JU-Impact WiFi Radiomap
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The JU-Impact Radiomap Dataset is a comprehensive dataset designed for research and development in indoor positioning systems. It comprises 5431 instances characterized by readings from 105 static Wi-Fi Access Points (APs) and spans 152 distinct virtual grids. Each virtual grid represents a 1x1 square meter area, derived by dividing a physical floor of a university building into reference coordinate points (x, y). The dataset was collected over a period of 21 days using four mobile devices: Samsung Galaxy Tab, Moto G, Redmi Note 4, and Google Pixel.An Android application was specifically developed to facilitate hotspot detection during the data collection phase. However, the dataset includes only static, registered Wi-Fi APs to ensure reliability in localization and excludes transient hotspots. Preprocessing was meticulously performed to address missing data, where absent Received Signal Strength (RSS) values were imputed with -110 dBm, signifying APs out of range.The JU-Impact Radiomap Dataset provides a robust foundation for evaluating indoor localization algorithms, offering real-world variability and device diversity. Its detailed structure and preprocessing ensure high utility for applications in Wi-Fi-based indoor positioning and related fields.
JU-Impact 无线图谱数据集（JU-Impact Radiomap Dataset）是一款面向室内定位系统研发的综合性数据集。该数据集包含5431条样本，每条样本均带有105个静态无线访问接入点（Wi-Fi Access Points, APs）的信号读数，覆盖152个独立虚拟网格。每个虚拟网格对应1×1平方米的区域，由某大学建筑的物理楼层划分为参考坐标点(x, y)得到。该数据集于21天内通过四款移动设备采集完成，分别为三星Galaxy Tab、Moto G、Redmi Note 4及谷歌Pixel。研发团队专门开发了一款安卓（Android）应用，用于在数据采集阶段辅助热点检测。不过，为保障定位可靠性，数据集仅收录静态、已注册的Wi-Fi接入点，剔除了临时热点。团队对数据集开展了精心的预处理以处理缺失值：缺失的接收信号强度（Received Signal Strength, RSS）值被填充为-110 dBm，以此表示对应接入点不在接收范围内。JU-Impact 无线图谱数据集为室内定位算法的评估提供了坚实的支撑基础，兼具真实场景的多样性与设备类型的丰富性。其严谨的结构设计与标准化预处理流程，使其在基于Wi-Fi的室内定位及相关领域具备极高的应用价值。
