"Bistatic Radar UAV Target RD Dataset"

"This dataset is a bistatic radar UAV Range\u2013Doppler (RD) image dataset designed to support research on UAV target detection and radar signal processing under low signal-to-clutter ratio conditions. The data are collected by a bistatic radar system and transformed into two-dimensional RD maps, which accurately represent the joint range\u2013Doppler characteristics of UAV targets in cluttered environments.The dataset consists of RD images acquired over multiple time frames and beam directions, covering a variety of target ranges, Doppler frequencies, and observation conditions. These samples reflect the influence of bistatic geometry on target echo characteristics and provide representative scenarios for performance evaluation.All samples are stored in image format and can be directly used for target detection, constant false alarm rate (CFAR) processing, morphological filtering, and learning-based detection methods. The dataset aims to provide a benchmark resource for the evaluation and comparison of UAV detection algorithms in bistatic radar systems."

本数据集为双基地雷达（bistatic radar）无人机（UAV）距离多普勒（Range-Doppler, RD）图像数据集，旨在支撑低信杂比（signal-to-clutter ratio）环境下无人机目标检测与雷达信号处理领域的相关研究。数据由双基地雷达系统采集并转换为二维距离多普勒图谱，可精准表征杂波环境下无人机目标的联合距离多普勒特性。该数据集包含多时间帧与多波束方向下采集的距离多普勒图像，涵盖多样的目标距离、多普勒频率与观测条件，这些样本体现了双基地几何构型对目标回波特性的影响，并可为算法性能评估提供典型场景。所有样本均以图像格式存储，可直接用于目标检测、恒虚警率（Constant False Alarm Rate, CFAR）处理、形态滤波以及基于学习的检测方法。本数据集旨在为双基地雷达系统中的无人机检测算法的评估与对比提供基准资源。