Multiantenna Spectrum Sensing for Correlated Signal in Spatially Correlated Noise Environments-Reference-Cited by-同舟云学术

Multiantenna Spectrum Sensing for Correlated Signal in Spatially Correlated Noise Environments

Published:2022-06 Issue:6 Volume:71 Page:6864-6869
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Chen An-Zhi¹^ORCID,Shi Zhi-Ping²^ORCID,Sun Guoxi¹,Liang Gen¹^ORCID,Cui Delong¹^ORCID,Xie Yupeng¹^ORCID,Guo Jikun¹,Long Yin³^ORCID

Affiliation:

1. School of Electronic and Information Engineering, Guangdong University of Petrochemical Technology, Maoming, China

2. Yangtze Delta Region Institute (Huzhou) and the Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Huzhou, China

3. School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Special Projects in Key Areas of Ordinary Colleges

Universities in Guangdong Province

School-Level Scientific Research Project of Guangdong University of Petrochemical Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/9805757/09748019.pdf?arnumber=9748019

Reference21 articles.

1. An Eigenvalue-Moment-Ratio Approach to Blind Spectrum Sensing for Cognitive Radio Under Sample-Starving Environment

2. Eigenvalue-Based Multiple Antenna Spectrum Sensing: Higher Order Moments

3. Pietra-Ricci Index Detector for Centralized Data Fusion Cooperative Spectrum Sensing

4. Robust Spectrum Sensing Based on Correlation for Cognitive Radio Networks With Uncalibrated Multiple Antennas

5. Eigenvalue-Based Sensing and SNR Estimation for Cognitive Radio in Presence of Noise Correlation

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Experimental Study on a Novel Machine Learning-Assisted Covariance-Based Spectrum Sensing Algorithm in the Presence of Noise;IEEE Sensors Journal;2024-08-15

2. SDR-Implementation of a Support Vector Machine-Assisted Covariance-Based Spectrum Sensing Algorithm in the Presence of Correlated Noise;IEEE Sensors Letters;2023-06