A Novel Possibilistic Clustering Algorithm for Measurement Data of Vehicle MMW Radar-Reference-Cited by-同舟云学术

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A Novel Possibilistic Clustering Algorithm for Measurement Data of Vehicle MMW Radar

Published:2023-08-01 Issue:15 Volume:23 Page:17103-17116
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Wang Tao¹^ORCID,Wu Shu²,Cao Lin²^ORCID,Du Kangning²^ORCID,Zhao Zongmin²^ORCID,He Zhenxue³^ORCID

Affiliation:

1. School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing, China

2. Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument and the Key Laboratory of Modern Measurement and Control Technology, Ministry of Education, Beijing Information Science and Technology University, Beijing, China

3. School of Information Science and Technology, Hebei Agricultural University, Baoding, China

Funder

National Natural Science Foundation of China Youth Fund

Beijing Municipal Natural Science Foundation

Key Projects of the National Natural Science Foundation of China Regional Innovation Joint Fund

Research and Development Program of Beijing Municipal Education Commission

Hebei Provincial Natural Science Foundation Youth Fund

Hebei Province Youth Top Talent Program Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10198840/10153511.pdf?arnumber=10153511

Reference30 articles.

1. A Novel Active Heads-Up Display for Driver Assistance

2. Pickup and delivery with electric vehicles under stochastic battery depletion

3. Millimeter-wave communicating-radars for enhanced vehicle-to-vehicle communications

4. Research on a DSRC-Based Rear-End Collision Warning Model

5. Radar Jamming Effect Analysis Based on Bayesian Inference Network With Adaptive Clustering

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