NDLI: Convolutional neural network applied to specific emitter identification based on pulse waveform images

Content Provider	IET Digital Library
Author	Wang, Xuebao Huang, Gaoming Ma, Congshan Tian, Wei Gao, Jun
Abstract	To deal with problems of uncertain modulations and multiple pulse widths in pulse waveforms (PWs) during the identifying procedure, a novel specific emitter identification (SEI) method based on PW images (PWIs) and convolutional neural network is proposed. In the method, a more accurate signal model is built with considering the rising, steady and falling part of the whole PW based on actual radar pulse signals. PWI achieves transforming time-domain waveforms to 2D binary images as an SEI analysis feature. To match the PWI feature, a convolutional neural network with the small convolutional kernel is designed to extract the subtle features and finish the supervised training. By tuning the parameters of the convolutional neural network, it completes a balance of consuming time and identifying accuracy. Simulations and experiments indicate that the proposed method outperforms the existed methods on identifying radar individuals with uncertain modulations and multiple pulse widths in the intercepted pulse signals.
Starting Page	728
Ending Page	735
Page Count	8
ISSN	17518784
Volume Number	14
e-ISSN	17518792
Issue Number	Issue 5, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/14/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2019.0456
Journal	IET Radar, Sonar & Navigation
Publisher Date	2020-01-27
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2D Binary Images Actual Radar Pulse Signal Computer Vision And Image Processing Technique Convolution Convolutional Kernel Convolutional Neural Network Electrical Engineering Computing Feature Extraction Integral Transforms Intercepted Pulse Signal Knowledge Engineering Technique Learning in AI Multiple Pulse Widths Neural Computing Technique Neural Nets Novel Specific Emitter Identification Method Optical, Image And Video Signal Processing Pulse Waveform Pulse Waveform Image PW Image Radar Computing Radar Equipment Radar Signal Processing Signal Processing And Detection Statistics System And Application Time-domain Waveform Uncertain Modulations
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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