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The Scientific World Journal
Volume 2014, Article ID 473178, 9 pages
Research Article

Compressed Sensing Based Fingerprint Identification for Wireless Transmitters

1Department of Communication Engineering, Xiamen University, Xiamen, Fujian 361005, China
2Department of Computer Science and Information Engineering, National Taitung University, Taitung 95092, Taiwan

Received 12 March 2014; Accepted 1 April 2014; Published 29 April 2014

Academic Editor: Han-Chieh Chao

Copyright © 2014 Caidan Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Most of the existing fingerprint identification techniques are unable to distinguish different wireless transmitters, whose emitted signals are highly attenuated, long-distance propagating, and of strong similarity to their transient waveforms. Therefore, this paper proposes a new method to identify different wireless transmitters based on compressed sensing. A data acquisition system is designed to capture the wireless transmitter signals. Complex analytical wavelet transform is used to obtain the envelope of the transient signal, and the corresponding features are extracted by using the compressed sensing theory. Feature selection utilizing minimum redundancy maximum relevance (mRMR) is employed to obtain the optimal feature subsets for identification. The results show that the proposed method is more efficient for the identification of wireless transmitters with similar transient waveforms.