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ADS-B signals records for non-cryptographic identification and incremental learning.
- Citation Author(s):
- Submitted by:
- Yongxin Liu
- Last updated:
- Sat, 05/08/2021 - 01:58
- DOI:
- 10.21227/1bxc-ke87
- Data Format:
- License:
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Abstract
Another raw ADS-B signal dataset with labels, the dataset is captured using a BladeRF2 SDR receiver @ 1090MHz with a sample rate of 10MHz
Instructions:
The preprocessing code of the dataset in Matlab is similar to our previous code in:
https://ieee-dataport.org/open-access/24-hour-signal-recording-dataset-l...
This part of the code is to support our research on incremental learning. Codes related to incremental learning can be found at:
paper: Class-Incremental Learning for Wireless Device Identification in IoT
available at https://ieeexplore.ieee.org/document/9425491
Dataset Files
- adsb_bladerf2_10M_qt0.mat (3.54 GB)
- Processed results of adsb_bladerf2_10M_qt0.mat which is directly learnable by DNN toolbox of Matlab adsb-107loaded.mat (10.26 GB)
- Importing the dataset into Matlab as well as converting the format. adsb_dataImport.m (681 bytes)
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