Person Identification Based on Fine-Grained Micro-Doppler Signatures and UWB Radar-Reference-Cited by-同舟云学术

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Person Identification Based on Fine-Grained Micro-Doppler Signatures and UWB Radar

Published:2023-09-15 Issue:18 Volume:23 Page:21421-21432
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

He Yuan¹^ORCID,Guo Hanbin¹^ORCID,Zhang Xinqi¹^ORCID,Li Runlong¹^ORCID,Lang Yue²^ORCID,Yang Yang³^ORCID

Affiliation:

1. Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, Ministry of Education, Beijing, China

2. School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China

3. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

Funder

National Natural Science Foundation of China

Science and Technology Project of the Hebei Education Department

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10251409/10205518.pdf?arnumber=10205518

Reference53 articles.

1. Human activity classification based on micro-Doppler signatures using a support vector machine;kim;IEEE Trans Geosci Remote Sens,2009

2. Review of micro‐Doppler signatures

3. Indoor Person Identification Using a Low-Power FMCW Radar

4. Person identification with limited training data using radar micro‐Doppler signatures

5. An image is worth 16 × 16 words: Transformers for image recognition at scale;dosovitskiy;arXiv 2010 11929,2020

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