Research on scenario recognition for THz channels based on mRMR-GA

Research on scenario recognition for THz channels based on mRMR-GA

To address the challenges of excessive feature parameter redundancy and insufficient scene correlation in terahertz (THz) channel scenario recognition, a recognition algorithm integrating the minimal redundancy maximal relevance (mRMR) criterion with genetic algorithm (GA) optimization was construct...

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Bibliographic Details
Main Authors: HAO Xinyu, LIAO Xi, WANG Yang, LIN Feng, LUO Jiao, ZHANG Jie
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2025-05-01
Series:Tongxin xuebao
Subjects:
THz channel
scenario recognition
feature selection
genetic algorithm
neural network
Online Access:http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2025082
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