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Order of Modulation 2018 Dataset #25
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For what it's worth, I concur that many of the modulation mappings appear to be incorrect, when you take the positions of the Y variable and overlay them on the positions of the classes.txt list. I have not yet figured out what the true mappings are, however. |
Same problem. This is an example QPSK (supposedly) from the dataset with the following plots: spectrum, constellation plot of even samples, constellation plot of odd samples, real-part of IQ samples, imaginary-part of IQ samples. it makes no sense to me. |
what the true mappings? |
@pfeatherstone @carlosrivera22 @carlosrivera22 |
Don't know. I'm not trusting this dataset |
The best thing to do is to buy some SDRs and generate your own dataset |
@pfeatherstone |
Is there any other better way to do signal modulation recognition |
Well this is a problem that goes back decades and using neural networks is gaining interest. But I don’t recommend using this dataset for training unless the correct mapping is known and the data is checked again. |
@hardware-master Thank you! Good spot. I didn't think to check the order of the list in the paper. |
Could you please give me some ideas on how can I generate own dataset? Actually I was looking for BFSK and 4 MFSK datasets. Which I cant find here as well. Thanks! |
I also think there is some problem with the labels of this dataset |
The classes.txt file in the dataset is in the following order:
classes = ['32PSK',
'16APSK',
'32QAM',
'FM',
'GMSK',
'32APSK',
'OQPSK',
'8ASK',
'BPSK',
'8PSK',
'AM-SSB-SC',
'4ASK',
'16PSK',
'64APSK',
'128QAM',
'128APSK',
'AM-DSB-SC',
'AM-SSB-WC',
'64QAM',
'QPSK',
'256QAM',
'AM-DSB-WC',
'OOK',
'16QAM']
I'm not sure if that is the same order as in the dataset.
Has someone figured this out?
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