Ghost Target Suppression Using Deep Neural Network in Radar-Based Indoor Environment Mapping
Author:
Affiliation:
1. School of Electronics and Information Engineering, College of Engineering, Korea Aerospace University, Goyang-si, Gyeonggi-do, Republic of Korea
Funder
National Research Foundation of Korea (NRF) Grant by the Korean Government through Ministry of Science and ICT
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9829891/09799798.pdf?arnumber=9799798
Reference25 articles.
1. Radar Fusion for Multipath Mitigation in Indoor Environments
2. Multipath Ghost Recognition for Indoor MIMO Radar
3. Radar-Based Human Target Detection using Deep Residual U-Net for Smart Home Applications
4. Deep-Learning for Radar: A Survey
5. Radar-Based Human-Motion Recognition With Deep Learning: Promising Applications for Indoor Monitoring
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