Improved Weighted Covariance-Based Detector for Spectrum Sensing in Rayleigh Fading Channel-Reference-Cited by-同舟云学术

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Improved Weighted Covariance-Based Detector for Spectrum Sensing in Rayleigh Fading Channel

Published:2024-05 Issue:5 Volume:13 Page:1513-1517
ISSN:2162-2337
Container-title:IEEE Wireless Communications Letters
language:
Short-container-title:IEEE Wireless Commun. Lett.

Author:

Lai Huadong¹^ORCID,Liu Mingxing¹^ORCID,Xu Jinqiang¹,Luo Peng¹^ORCID,Chen Changrun²^ORCID,Xu Weichao³^ORCID

Affiliation:

1. School of Electronics and Information Engineering, Guangdong Ocean University, Zhanjiang, Guangdong, China

2. School of Engineering, University of Kent, Canterbury, U.K

3. Department of Automatic Control, School of Automation, Guangdong University of Technology, Guangzhou, Guangdong, China

Funder

Program for Scientific Research Start-Up Funds of Guangdong Ocean University

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962382/10527218/10477256.pdf?arnumber=10477256

Reference21 articles.

1. Extreme Eigenvalues-Based Detectors for Spectrum Sensing in Cognitive Radio Networks

2. Optimization of Spectrum Utilization Efficiency in Cognitive Radio Networks

3. Joint Block Support Recovery for Sub-Nyquist Sampling Cooperative Spectrum Sensing

4. A Cooperative Spectrum Sensing With Multi-Agent Reinforcement Learning Approach in Cognitive Radio Networks

5. SNR Walls for Signal Detection

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