Compressed Sensing Based Fingerprint Identification for Wireless Transmitters
Joint Authors
Zhao, Caidan
Wu, Xiongpeng
Huang, Lianfen
Yao, Yan
Chang, Yao-Chung
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Zhao, Caidan& Wu, Xiongpeng& Huang, Lianfen& Yao, Yan& Chang, Yao-Chung. 2014. Compressed Sensing Based Fingerprint Identification for Wireless Transmitters. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1049745
Modern Language Association (MLA)
Zhao, Caidan…[et al.]. Compressed Sensing Based Fingerprint Identification for Wireless Transmitters. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1049745
American Medical Association (AMA)
Zhao, Caidan& Wu, Xiongpeng& Huang, Lianfen& Yao, Yan& Chang, Yao-Chung. Compressed Sensing Based Fingerprint Identification for Wireless Transmitters. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1049745
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049745