Raw_radar_fmcw_Dataset
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This dataset contains raw FMCW radar signals collected for human localization and activity monitoring in indoor environments. The data was recorded using mmWave radar sensors across two different laboratory settings, designed to simulate real-life scenarios for human detection and localization tasks.The dataset includes experiments with 1, 2, and 3 people, covering various positions, walking trajectories, and intermediate locations to evaluate model generalization. Ground truth information is embedded in the folder names, indicating the true distance and angle of the targets.Each data folder contains 18 files: 9 files per antenna capturing complex-valued signals (.cf32 format) for multi-antenna processing. The signals are recorded without any preprocessing or feature extraction, enabling researchers to explore raw data learning, end-to-end modeling, or classical signal processing pipelines. This dataset is especially suitable for research in radar-based human localization, privacy-preserving monitoring, signal enhancement, and machine learning on raw radar data.
本数据集包含用于室内环境下人体定位与活动监测的原始调频连续波(FMCW,Frequency Modulated Continuous Wave)雷达信号。该数据集采用毫米波(mmWave,millimeter-wave)雷达传感器在两种不同的实验室环境中采集所得,这些环境旨在模拟人体检测与定位任务的真实应用场景。本数据集涵盖1人、2人及3人的实验场景,包含多种站位、行走轨迹与中间位置设置,用于评估模型的泛化能力。文件夹名称中嵌入了真值(Ground Truth)信息,用以标明目标的真实距离与角度。每个数据文件夹包含18个文件:每个天线对应9个文件,用于捕获复数值信号(格式为.cf32)以支持多天线处理。所有信号均未经过任何预处理或特征提取,可供研究人员开展原始数据学习、端到端建模或经典信号处理流程的相关研究。本数据集尤其适用于基于雷达的人体定位、隐私保护监测、信号增强以及原始雷达数据机器学习等方向的研究工作。




