NDLI: Communication emitter identification based on distribution of bispectrum amplitude and phase

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IET Signal Processing

IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

Communication emitter identification based on distribution of bispectrum amplitude and phase

Content Provider	IET Digital Library
Author	Han, Jie Zhang, Tao Ren, Dongfang Zheng, Xiaoyu
Abstract	This paper develops a novel method for feature extraction of steady communication signals based on the distribution of bispectrum amplitude and phase (BAP) to solve the identification problem of the same type of emitters. First, a propagation model of communication signals is modeled by analyzing the mechanism of emitter fingerprint, and the irrelevance between bispectrum amplitude and phase is demonstrated. Then, onthe basis of estimating the signal bispectrum, bispectrum symmetry is used to adopt different methods to extract features according to their own characteristics of amplitude and phase spectrum. Finally, the simulated and actual communication signals from the same type of emitters are used for the experiment. The identification performance of BAP method is compared with another three methods in terms of antinoise performance, influence of the numberof training samples, and feature distribution. Theoretical analysis and experimental results show that the BAP method overcomes the shortcomings of SIB and SB methods, and the extracted features have good clustering and interclass separability, solvingthe identification problem of the same type of emitters under low SNR and small number of training samples.
Starting Page	1104
Ending Page	1112
Page Count	9
ISSN	17518822
Volume Number	11
e-ISSN	17518830
Issue Number	Issue 8, Nov (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-smt/11/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2017.0024
Journal	IET Science, Measurement & Technology
Publisher Date	2017-08-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bispectrum Amplitude And Phase Distribution Communication Emitter Identification Communication Signal Propagation Model Computer Vision And Image Processing Technique Data Handling Technique Emitter Fingerprint Feature Extraction Fingerprint Identification Identification Problem Image Recognition Selected Bispectrum Signal Classification Signal to Noise Ratio Steady Communication Signal
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics Electrical and Electronic Engineering

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