Drone Authentication via Acoustic Fingerprint

Diao, Y. and ZHANG, Y. (2022) Drone Authentication via Acoustic Fingerprint. [Data Collection]

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Collection description

This artifact consists of raw drone audio recordings and experiment code. Drone audio recordings include all the audio mentioned in Table 1. Additionally, the size of all raw drone audio recordings is about 2.9 gigabytes in the WAV format. Based on that, the experiment code can generate the four MFCC-based datasets: DS1, DS2, DS1N, and DS2N, which are mentioned in the paper. Furthermore, this code can reproduce all the experiment results in Sections 4 and 5 of our paper.

College / School: College of Science and Engineering > School of Engineering
Date Deposited: 18 Oct 2022 13:19
URI: https://researchdata.gla.ac.uk/id/eprint/1348

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Diao, Y. and ZHANG, Y. (2022); Drone Authentication via Acoustic Fingerprint

University of Glasgow

DOI: 10.5525/gla.researchdata.1348

Retrieved: 2024-07-14

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