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.

Dataset Files

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[1] Chong Lin, "OFDM modulation classification dataset", IEEE Dataport, 2021. [Online]. Available: Accessed: Apr. 17, 2024.
doi = {10.21227/xwk3-t431},
url = {},
author = {Chong Lin },
publisher = {IEEE Dataport},
title = {OFDM modulation classification dataset},
year = {2021} }
T1 - OFDM modulation classification dataset
AU - Chong Lin
PY - 2021
PB - IEEE Dataport
UR - 10.21227/xwk3-t431
ER -
Chong Lin. (2021). OFDM modulation classification dataset. IEEE Dataport.
Chong Lin, 2021. OFDM modulation classification dataset. Available at:
Chong Lin. (2021). "OFDM modulation classification dataset." Web.
1. Chong Lin. OFDM modulation classification dataset [Internet]. IEEE Dataport; 2021. Available from :
Chong Lin. "OFDM modulation classification dataset." doi: 10.21227/xwk3-t431