Images of Medulasin PRI types

This dataset comprises simulated Pulse Repetition Interval (PRI) modulation types used for radar signal recognition. The data are generated under challenging conditions, including dense clutter and missing pulses, to evaluate the robustness of deep learning models. The dataset includes various PRI modulation patterns such as constant (CON), staggered (STG), jittered (JIT), and sliding (SLI), each with different percentages of destructive factors (e.g., 10%, 20%, and 30% pulse loss and clutter-to-noise ratios). The data is stored in a compressed RAR archive (Database.rar) containing labeled samples suitable for training and testing classification algorithms. This dataset is intended to support research in radar signal processing and machine learning-based electronic warfare.本数据集包含用于雷达信号识别的仿真脉冲重复间隔（Pulse Repetition Interval, PRI）调制类型。数据在包含密集杂波与脉冲丢失的挑战性环境下生成，用于评估深度学习模型的鲁棒性。该数据集涵盖多种PRI调制模式，例如固定（CON）、参差（STG）、抖动（JIT）以及滑动（SLI）类型，且每种模式均设置了不同比例的破坏性因子（如10%、20%、30%的脉冲丢失率，以及不同的杂噪比）。数据存储于压缩RAR存档文件（Database.rar）中，内含适用于分类算法训练与测试的标注样本。本数据集旨在为雷达信号处理以及基于机器学习的电子战相关研究提供支撑。