NDLI: Aspect angle dependence and multistatic data fusion for micro-Doppler classification of armed/unarmed personnel

Content Provider	IET Digital Library
Author	Fioranelli, Francesco Ritchie, Matthew Griffiths, Hugh
Abstract	This study discusses the analysis of multistatic micro-Doppler signatures and related features to distinguish and classify unarmed and potentially armed personnel. The application of radar systems to distinguish different motion types has been previously proposed and this work aims to further investigate the applicability of this in more scenarios. Real data have been collected using a multistatic radar system in a series of experiments involving several individuals performing different movements. Changes in classification accuracy as a function of different aspect angle between the direction in which the target faces and the line-of-sight of the radar nodes are analysed. Multiple data fusion methodologies are proposed, showing that significant improvement of the classification accuracy can be achieved when using separate classification at each node followed by a voting procedure to reach the final decision. This is beneficial especially at those aspect angles for which micro-Doppler detection is less favourable.
Starting Page	1231
Ending Page	1239
Page Count	9
ISSN	17518784
Volume Number	9
e-ISSN	17518792
Issue Number	Issue 9, Dec (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/9/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2015.0058
Journal	IET Radar, Sonar & Navigation
Publisher Date	2015-12-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Armed Personnel Aspect Angle Dependence Doppler Radar Line-of-sight Micro-Doppler Classification Accuracy Micro-Doppler Detection Multistatic Data Fusion Multistatic Micro-Doppler Signature Multistatic Radar System Radar Detection Radar Equipment Radar Node Sensor Fusion Signal Classification Signal Detection System And Application Unarmed Personnel Voting Procedure
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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