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21 May 2021 Effect of the short time fourier transform on the classification of complex-valued mobile signals
Logan Smith, Nicholas Smith, Surya Kodipaka, Ajaya Dahal, Bo Tang, John E. Ball, Maxwell Young
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Proceedings Volume 11756, Signal Processing, Sensor/Information Fusion, and Target Recognition XXX; 117560Y (2021) https://doi.org/10.1117/12.2587664
Event: SPIE Defense + Commercial Sensing, 2021, Online Only
Abstract
Wireless devices identify themselves using media access control (MAC) addresses which can be easily intercepted and mimicked by an adversary. Mobile devices also have a unique physical fingerprint represented by perturbations in the frequency of broadcasted signals caused by differences in the manufacturing process of their hardware components. This unique fingerprint is much more difficult to mimic. The short time Fourier transform (STFT) is used to analyze how the frequency content of a signal changes over time, and may provide a better representation of mobile signals in order to detect their unique fingerprint. In this paper, we have collected wireless signals using the 802.11 a/g protocol, showing the effect on classification performance of applying the STFT when varying the choice of window lengths, augmenting the data with complex Gaussian noise, and concatenating STFTs of different frequency resolutions, achieving state-of-the-art performance of 99.94% accuracy in the process.
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Logan Smith, Nicholas Smith, Surya Kodipaka, Ajaya Dahal, Bo Tang, John E. Ball, and Maxwell Young "Effect of the short time fourier transform on the classification of complex-valued mobile signals", Proc. SPIE 11756, Signal Processing, Sensor/Information Fusion, and Target Recognition XXX, 117560Y (21 May 2021); https://doi.org/10.1117/12.2587664
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KEYWORDS
Fourier transforms
Mobile devices
Signal detection
Signal processing
Control systems
Manufacturing
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