/ModRecHub

ModRecHub - An online hub for Datasets, Algorithms and Models on Modulation Recognition for Communication Systems

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ModRecHub

ModRecHub - An online hub for Datasets, Algorithms and Models on Modulation Recognition for Communication Systems

(1) ModRec_SimDataV1

The link below gives you access to the raw simulated dataset of six Modulation Schemes, namely - 16QAM, 64QAM, BPSK, QPSK, 8PSK, and GMSK. All the modulation schemes were curated in the GNU Radio Companion. https://drive.google.com/drive/folders/12xLwqMX5bHuVn8n51ceyBCR982ji4A43?usp=sharing

(2) SimModRecV1

The following link contains i) The Automatic Modulation Recognition (AMR) model developed based on the modulation schemes in (1) above and the Minimum Phase Reconstruction Coefficients (MPRC) descriptor. ii) Sample simulation test dataset. ii) MATLAB Script for testing the model https://drive.google.com/drive/folders/1_nomajqOM737hle5uFzgCQQJMEzH3JPI?usp=sharing

(3)DeepModRec-1 Constellation Dataset

The link below contains the Constellation Dataset for six Modulation Schemes, namely - - 16QAM, 64QAM, BPSK, QPSK, 8PSK, and GMSK. All the modulation schemes were curated in the GNU Radio Companion. https://drive.google.com/drive/folders/1wE4HZXbG6T2VRlK5eiRWnjNphEfGuAbQ?usp=sharing

To mimic real-life propagation effects we simulated two different fading models, which include a Rician and a Rayleigh propagation effects. We also varied the white noise amplitude setting such that the signal constellations were created at -5dB to +20dB SNR range at a step of 5dB. We acquired 50 samples for each of the modulation schemes at each step to obtain a total of 3,600 samples for all the six schemes considered.

Feedback

For any questions or feedbacks, send a mail to aspmirlab@covenantuniversity.edu.ng

License

The datasets and models are freely available for research purposes.