HisarMod: A new challenging modulated signals dataset

Citation Author(s):
Kürşat
Tekbıyık
İstanbul Technical University
Cihat
Keçeci
Boğaziçi University
Ali Rıza
Ekti
Balıkesir University
Ali
Görçin
Yıldız Technical University
Güneş
Karabulut Kurt
İstanbul Technical University
Submitted by:
Kursat Tekbiyik
Last updated:
Mon, 03/23/2020 - 03:12
DOI:
10.21227/8k12-2g70
Data Format:
License:
0
0 ratings - Please login to submit your rating.

Abstract 

In order to increase the diversity in signal datasets, we create a new dataset called HisarMod, which includes 26 classes and 5 different modulation families passing through 5 different wireless communication channel. During the generation of the dataset, MATLAB 2017a is employed for creating random bit sequences, symbols, and wireless fading channels. 

 

The dataset includes 26 modulation types from 5 different modulation families which are analog, FSK, PAM, PSK, and QAM. In the dataset, there are 1500 signals, which have the length of 1024 I/Q samples, for each modulation type. To make HisarMod similar to RadioML2016.10a for a fair comparison, there are 20 different SNR levels in between -20dB and 18dB. As a result, the dataset covers totally 780000 signals. When generating signals, oversampling rate is chosen as 2 and raised cosine pulse shaping filter is employed with roll-off factor of 0.35.

 

This work has been accepted for the presentation in the 2020 IEEE 91st
Vehicular Technology Conference (VTC2020-Spring).
The preprint is available here: https://arxiv.org/abs/1911.04970

Instructions: 

Documentation will be available soon.

Comments

Great work. Thank you for publishing.

Submitted by Hilal Elyousseph on Sat, 01/16/2021 - 01:58