"Study on Stealthy C2 Spoofing Methods for Anti-Jamming UAVs Equipped with Array Antennas"

"This dataset presents the clustering results obtained from the TG-HDBSCAN-PDW algorithm, designed for direction\u2013power joint analysis in UAV communication and deception scenarios. The figure visualizes the spatial distribution of clustered data points in the azimuth\u2013elevation domain, where each color represents a distinct stable cluster identified through time-enhanced density estimation. Compared with conventional HDBSCAN, the proposed TG-HDBSCAN-PDW integrates temporal continuity and power-domain weighting, effectively reducing noisy samples and improving cluster compactness and separability. The displayed results demonstrate clear boundary transitions between adjacent clusters, with a low proportion of unclassified points, indicating robust performance under complex interference and dynamic target conditions. Quantitatively, the clustering achieves a Davies\u2013Bouldin index of 0.135 and a Silhouette coefficient of 0.901, confirming high intra-cluster consistency and inter-cluster contrast. These results validate the method\u2019s ability to capture coherent spatial\u2013temporal features of received signals, providing a reliable foundation for subsequent UAV cooperative deception, direction tracking, and power control. Overall, the dataset serves as an illustrative example of stable cluster extraction under multi-source and fluctuating environments, supporting research in intelligent signal processing and physical-layer security. "

本数据集呈现了针对无人机（Unmanned Aerial Vehicle, UAV）通信与欺骗场景下方位-功率联合分析设计的TG-HDBSCAN-PDW算法所得到的聚类结果。该图可视化了聚类数据点在方位角-仰角域中的空间分布，其中每种颜色代表通过时间增强型密度估计所识别出的独立稳定聚类。相较于传统HDBSCAN算法，本文提出的TG-HDBSCAN-PDW算法融合了时间连续性与功率域加权机制，可有效减少噪声样本，提升聚类紧致性与可分离性。本次展示的结果呈现出相邻聚类间清晰的边界过渡，且未分类点占比极低，表明该算法在复杂干扰与动态目标条件下具备优异的鲁棒性。量化指标方面，该聚类算法的戴维斯-布尔丁指数（Davies–Bouldin index）为0.135，轮廓系数（Silhouette coefficient）为0.901，证实了其具备较高的簇内一致性与簇间对比度。上述结果验证了该算法能够捕获接收信号的连贯时空特征，可为后续无人机协同欺骗、方位跟踪与功率控制等任务提供可靠的研究基础。总体而言，本数据集可作为多源波动环境下稳定聚类提取的典型示例，可为智能信号处理与物理层安全领域的相关研究提供支撑。