Order of Modulation 2018 Dataset about dataset HOT 15 OPEN

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.

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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.
This looks like OOK
Also, I think all the signals are oversampled by a factor of 8

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This is what I get for a BPSK

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This is what i get for OOK:

So 'OOK' or label 24 is definitely either PSK16 or PSK32

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what the true mappings?

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@pfeatherstone @carlosrivera22 @carlosrivera22
Has someone figured this out?

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Don't know. I'm not trusting this dataset

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The best thing to do is to buy some SDRs and generate your own dataset

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@pfeatherstone
I got some raw IQ data, use model.predict to predict the model, does the incoming prediction data need to be normalized? "If necessary, how is this normalization achieved?

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Is there any other better way to do signal modulation recognition

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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.

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In my opinion, the modulation classification list attached to this data set is out of order. According to my exploration, I found that the correct sequence was mentioned in the author's 2018 paper

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@hardware-master Thank you! Good spot. I didn't think to check the order of the list in the paper.

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The best thing to do is to buy some SDRs and generate your own dataset

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!

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I also think there is some problem with the labels of this dataset

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