OFDM modulation classification dataset

This dataset was used for OFDM Signal Real-Time Modulation Recognition Based on Deep Learning and Software-Defined Radio, which provides additional details and description of the dataset. We generate 6 modulated OFDM baseband signals with header modulation and payload modulation as BPSK+BPSK, BPSK+QPSK, BPSK+8PSK, QPSK+BPSK, QPSK+QPSK, QPSK+8PSK, respectively. The SNR range of each signal is from -10 dB to +20 dB at intervals of 2 dB. There are 4096 pieces of data generated for each signal type under a specific SNR and each piece of data has 1024 samples. That is, 6×16×4096 = 393216 pieces in total.本数据集应用于基于深度学习和软件定义无线电的OFDM信号实时调制识别，并提供了数据集的详细描述。本数据集生成了6种调制的OFDM基带信号，其头部调制与有效载荷调制分别为BPSK+BPSK、BPSK+QPSK、BPSK+8PSK、QPSK+BPSK、QPSK+QPSK、QPSK+8PSK。每个信号的信噪比（SNR）范围从-10 dB至+20 dB，间隔为2 dB。在特定SNR条件下，每种信号类型生成了4096条数据，每条数据包含1024个样本。因此，总计共有6×16×4096=393216条数据。

搜集汇总

背景与挑战

背景概述

该数据集用于OFDM信号实时调制识别研究，包含6种不同调制类型的OFDM基带信号，信噪比范围从-10 dB到+20 dB，总计393,216条数据，每条数据有1024个样本。数据集支持深度学习模型训练，适用于无线通信信号分类任务。