Radar-Based Noninvasive Person Authentication Using Micro-Doppler Signatures and Generative Adversarial Network-Reference-Cited by-同舟云学术

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Radar-Based Noninvasive Person Authentication Using Micro-Doppler Signatures and Generative Adversarial Network

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Lang Yue¹^ORCID,Wu Chenyang¹^ORCID,Yang Yang²^ORCID,Ji Haoran³^ORCID

Affiliation:

1. School of Electric and Information Engineering, Hebei University of Technology, Tianjin, China

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

3. Tianjin International Engineering Institute, 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/ielx7/19/10012124/10215498.pdf?arnumber=10215498

Reference69 articles.

1. Omnidirectional Motion Classification With Monostatic Radar System Using Micro-Doppler Signatures

2. f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

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

4. Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

5. DopNet: A Deep Convolutional Neural Network to Recognize Armed and Unarmed Human Targets

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1. Progressively-orthogonally-mapped EfficientNet for action recognition on time-range-Doppler signature;Expert Systems with Applications;2024-12

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