Combined Simulated Radar Sensor Dataset

该数据集是通过将一个现有的模拟数据集与一个新的模拟数据集相结合生成的，旨在模仿雷达传感器读数，并评估静止或移动对象的类别成员身份。该数据集以CSV格式呈现，其特性使得能够评估在识别类别成员身份时的置信度、可信度和不确定性。该模型提供了一种无需预先了解未见信息就能检测异常的方法，任务是对雷达传感器数据中的欺骗攻击进行检测。

This dataset is generated by combining an existing simulated dataset and a new simulated one, and it is designed to mimic radar sensor readings while evaluating the class membership of stationary or moving objects. Presented in CSV format, this dataset enables the assessment of confidence, credibility, and uncertainty during class membership identification. The corresponding model provides a method for detecting anomalies without prior knowledge of unseen information, with the core task being the detection of spoofing attacks in radar sensor data.