creating_datasets_for_fingerprinting
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| creating_datasets_for_fingerprinting [2022/11/02 14:00] – [Launch the experiment] christiandc | creating_datasets_for_fingerprinting [2022/11/09 12:15] (current) – christiandc | ||
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| - | #Creating a dataset for fingerprintinp | + | #Creating a dataset for fingerprinting |
| The objective of this tutorial is to create a non biased dataset for transmitter identification. By fixing the reciever on a robot, the distance and the canal is constantly and randomly changing, forcing the deep learning process to learn on the RF fingerprints. This tutorial explains how to use FIT/ | The objective of this tutorial is to create a non biased dataset for transmitter identification. By fixing the reciever on a robot, the distance and the canal is constantly and randomly changing, forcing the deep learning process to learn on the RF fingerprints. This tutorial explains how to use FIT/ | ||
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| ## Gathering the results | ## Gathering the results | ||
| + | To gather the results, at the end of the emissions we used a USB stick to collect the results directly from the computer of the robot. Copy and paste all the files under the format : | ||
| + | < | ||
| + | re_00_[number du node] and im_00_[number of node]</ | ||
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| + | Congratulations, | ||
creating_datasets_for_fingerprinting.1667394008.txt.gz · Last modified: 2022/11/02 14:00 by christiandc