Title :
Bayesian detection of Wi-Fi transmitter RF fingerprints
Author :
Ureten, O. ; Serinken, N.
Author_Institution :
Commun. Res. Centre, Ottawa, Ont., Canada
fDate :
3/17/2005 12:00:00 AM
Abstract :
A transient detection technique is presented for the detection of the turn-on transients of Wi-Fi radios. The turn-on transients are detected by a Bayesian change detector, which estimates the time instant when the transmitter starts to power up. The proposed technique is verified with the transient data collected from a number of Wi-Fi radios and it is shown that the ramp detector outperforms the abrupt change detector in detecting the turn-on transients of Wi-Fi transmitters.
Keywords :
Bayes methods; feature extraction; radio transmitters; signal classification; signal detection; transients; wireless LAN; Bayesian change detector; Bayesian detection; IEEE 802.11x; RF fingerprint classification; Wi-Fi transmitter RF fingerprint detection; abrupt change detector; characteristic features extraction; ramp detector; tum-on transient detection;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20057769
