A Paradigm Shift from an Experimental-Based to a Simulation-Based Framework Using Motion-Capture Driven MIMO Radar Data Synthesis
Year of publication
2024
Authors
Waqar, Sahil; Muaaz, Muhammad; Sigg, Stephan; Patzold, Matthias
Organizations and authors
Aalto University
Sigg Stephan 
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Journal
Publisher
Volume
24
Issue
10
Pages
16614-16628
ISSN
Publication forum
Publication forum level
2
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Partially open publication channel
Self-archived
Yes
Other information
Fields of science
Computer and information sciences
Keywords
Aspect angle; data augmentation; data synthesis; Deep Learning; distributed MIMO radar simulation; distributed multiple-input multiple-output (MIMO) radar simulation; Human activity recognition; human activity recognition (HAR); micro-Doppler analysis; MIMO communication; MIMO radar; motion capture; motion capture (MoCap); Motion Synthesis; multiclass classification; radar; radar antennas; sensors; Trajectory; Virtual reality
Internationality of the publisher
International
Language
English
International co-publication
Yes
Co-publication with a company
No
DOI
10.1109/JSEN.2024.3386221
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes