Title:

Specific Emitter Identification via Hilbert-Huang Transform

Abstract:

We investigate the specific emitter identification in both single-hop and relaying scenarios, where three approaches based on the Hilbert spectrum are proposed to extract identification features with well separability between different emitters. First, we employ the entropy and first- and second-order moments as identification measures, which describe the uniformity of the Hilbert spectrum. Second, an algorithm is proposed to compute the correlation coefficient as the identification feature, which evaluates the similarity between different Hilbert spectrums. Third, we exploit the Fisher’s discriminant ratio to obtain the optimal identification features by choosing the Hilbert spectrum elements with strong class separability, which can be employed to classify more emitters. It is noted that the first algorithm has the lowest complexity, the third algorithm has the best identification performance, while the second algorithm makes a trade-off between the identification performance and the complexity. Furthermore, we consider the identification problem in a relaying scenario, in which the fingerprint of different emitters may be contaminated by the relay’s fingerprints. The identification performance in various channel conditions, such as the AWGN, non-Gaussian noise and fading channels are validated as well.

Bio:

Fanggang Wang received the B.Eng. degree in 2005 and the Ph.D. degree in 2010 both from the School of Information and Communication Engineering at Beijing University of Posts and Telecommunications, Beijing, China. From 2008 to 2010, he worked as a Visiting Scholar in Electrical Engineering Department, Columbia University, New York City, New York, USA. He was a Postdoctoral Fellow in Institute of Network Coding, the Chinese University of Hong Kong, Hong Kong SAR, China, from 2010 to 2012. He joined the State Key Lab of Rail Traffic Control and Safety, School of Electronic and Information Engineering, Beijing Jiaotong University, in 2010, where he is currently an Associate Professor. His research interests are in wireless communications, signal processing, and information theory. He chaired two workshops on wireless network coding (NRN 2011 and NRN 2012) and served as the Technical Program Committee (TPC) members in several conferences.