Radar Modulation Recognition of Intra-pulse Overlapping Signals

Existing work on radar modulation recognition iswidely based on the assumption of a single in-pulse signal,whereas overlapping two pulse signals is an actual situation. Thispaper introduces a challenging problem: modulation recognitionof overlapping intra-pulse signals, where the difficulty lies inthe fact that the number of samples grows stepwise with thepermutation of the sub-signals. In this paper, for the first time,a series of methods for target detection are used to solve thisproblem well. Specifically, the authors construct a time-frequencydataset of overlapping signals and train the model’s abilityto extract TFmeta on a single signal.现有关于雷达调制识别的研究普遍基于单脉冲信号的假设，然而双脉冲信号的叠加却是实际存在的情况。本文提出了一项颇具挑战性的问题：重叠脉冲信号的调制识别，其难点在于样本数量随子信号的排列而逐步增加。在本文中，作者首次运用一系列目标检测方法有效解决了这一问题。具体而言，作者构建了一个重叠信号的时频数据集，并训练模型在单个信号上提取TF元信息的能力。

搜集汇总

背景与挑战

背景概述

该数据集专注于雷达调制识别中的脉冲内重叠信号问题，旨在解决实际场景中两个脉冲信号重叠的挑战。它包含单信号和重叠信号的时间频率数据，用于训练模型提取时间频率特征，以改进重叠信号的调制识别方法。