Radio Transmitter Identification Based on Collaborative Representation

Radio Transmitter Identification Based on Collaborative Representation Benefiting from the correlation among the samples, a method of radio transmitter identification based on collaborative representation is put forward in this paper. Firstly, we extract the square integral bispectra features to characterise the nuances of radio transmitters in the feature space. Secondly, based on collaborative representation, the sparse coefficient is obtained easily. At last, benefiting from the discrimination information of coefficients, a classifier is constructed for the final radio transmitter identification. On the actual collected dataset from ten FM radios which belong to the same model and manufacturer, the robust identification performances verify the effectiveness of our method. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wireless Personal Communications Springer Journals

Radio Transmitter Identification Based on Collaborative Representation

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Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media New York
Subject
Engineering; Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks
ISSN
0929-6212
eISSN
1572-834X
D.O.I.
10.1007/s11277-017-4242-z
Publisher site
See Article on Publisher Site

Abstract

Benefiting from the correlation among the samples, a method of radio transmitter identification based on collaborative representation is put forward in this paper. Firstly, we extract the square integral bispectra features to characterise the nuances of radio transmitters in the feature space. Secondly, based on collaborative representation, the sparse coefficient is obtained easily. At last, benefiting from the discrimination information of coefficients, a classifier is constructed for the final radio transmitter identification. On the actual collected dataset from ten FM radios which belong to the same model and manufacturer, the robust identification performances verify the effectiveness of our method.

Journal

Wireless Personal CommunicationsSpringer Journals

Published: Apr 25, 2017

References

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