title: Compressed sensing based fingerprint identification for wireless transmitters.
abstract: 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.
authors.affiliation: Department of Communication Engineering, Xiamen University, Xiamen, Fujian 361005, China.
authors.forename: Caidan
authors.initials: C
authors.lastname: Zhao
authors.affiliation: Department of Communication Engineering, Xiamen University, Xiamen, Fujian 361005, China.
authors.forename: Xiongpeng
authors.initials: X
authors.lastname: Wu
authors.affiliation: Department of Communication Engineering, Xiamen University, Xiamen, Fujian 361005, China.
authors.forename: Lianfen
authors.initials: L
authors.lastname: Huang
authors.affiliation: Department of Communication Engineering, Xiamen University, Xiamen, Fujian 361005, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Yao
authors.affiliation: Department of Computer Science and Information Engineering, National Taitung University, Taitung 95092, Taiwan.
authors.forename: Yao-Chung
authors.initials: YC
authors.lastname: Chang
mesh_terms: D000465:Algorithms; D058067:Wavelet Analysis; D059015:Wireless Technology / Q000295:instrumentation*