Simulation framework for activity recognition and benchmarking in different radar geometries-Reference-Cited by-同舟云学术

Simulation framework for activity recognition and benchmarking in different radar geometries

Published:2021-03-10 Issue:4 Volume:15 Page:390-401
ISSN:1751-8784
Container-title:IET Radar, Sonar & Navigation
language:en
Short-container-title:IET Radar, Sonar & Navigation

Author:

Zhou Boyu¹,Lin Yier¹,Le Kernec Julien¹²³^ORCID,Yang Shufan²,Fioranelli Francesco⁴,Romain Olivier³,Zhao Zhiqin¹

Affiliation:

1. School of Information and Communication University of Electronic Science and Technology of China Chengdu China

2. James Watt School of Engineering University of Glasgow Glasgow UK

3. Signal and Information Processing Lab University‐Cergy‐Pontoise Cergy‐Pontoise France

4. Department of Microelectronics MS3‐Microwave Sensing Signals and Systems Delft The Netherlands

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/rsn2.12049

Reference39 articles.

1. Radar Signal Processing for Sensing in Assisted Living: The Challenges Associated With Real-Time Implementation of Emerging Algorithms

2. Radar-Based Human-Motion Recognition With Deep Learning: Promising Applications for Indoor Monitoring

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4. Information-Theoretic Feature Selection for Human Micro-Doppler Signature Classification

5. Micro-Doppler-Based Human Activity Classification Using the Mote-Scale BumbleBee Radar

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