WiFiSpectralJam：包含受控射频干扰的大规模开放Wi-Fi频谱扫描数据集
WiFiSpectralJam: A Large-Scale Open Wi-Fi Spectral Scan Dataset with Controlled RF Jamming
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中文总结 AI 辅助
本研究构建了含受控射频干扰的大规模Wi-Fi频谱扫描数据集WiFiSpectralJam，提供原始数据与基准协议，可支撑射频干扰等相关研究。
中文摘要 AI 辅助
WiFiSpectralJam是一个Wi-Fi频谱扫描数据集，由14.52 GB数据、96090个CSV文件和522771130条有序频谱观测值组成，采用商用Wi-Fi感知硬件采集。测量使用搭载高通骁龙QCA9880 802.11ac网络接口的树莓派计算模块4，以及Linux ath10k频谱扫描接口完成。该数据集涵盖2.4 GHz和5 GHz频段的主动与被动扫描模式，包含真实环境良性背景采集、射频暗室基础采集，以及用HackRF One生成的受控射频干扰采集。干扰条件随发射功率、目标信道变化，主动子集还包含波形类型。发布内容包括原始频谱扫描记录、文件级元数据清单、衍生频谱摘要特征、验证输出及可复现基准协议。这些资源支持射频干扰表征、干扰检测、频谱监测、分布偏移评估，以及使用商用网络接口卡频谱测量的机器学习研究。该数据集可通过指定URL公开获取。
英文摘要
WiFiSpectralJam is a Wi-Fi spectral-scan dataset comprising 14.52 GB, 96,090 CSV files, and 522,771,130 ordered spectral observations using commodity Wi-Fi sensing hardware. Measurements were acquired with a Raspberry Pi Compute Module 4 equipped with a Qualcomm Atheros QCA9880 802.11ac network interface and the Linux ath10k spectral-scan interface. The dataset spans active and passive scan modalities across the 2.4 and 5 GHz bands and includes real-world benign background captures, benign RF-chamber floor captures, and controlled RF-jamming captures generated with a HackRF One. Jamming conditions vary by transmit power, target channel, and, in the active subset, waveform type. The release provides the raw spectral-scan records together with a file-level metadata manifest, derived spectral-summary features, validation outputs, and reproducible benchmark protocols. These resources support reuse in RF interference characterisation, jamming detection, spectrum monitoring, distribution-shift evaluation, and machine-learning studies using commodity-NIC spectral measurements. The dataset is publicly available at: https://www.kaggle.com/datasets/daniaherzalla/radio-frequency-jamming/data.
