Log-Likelihood Ratio Test for Spectrum Sensing With Truncated Covariance Matrix-Reference-Cited by-同舟云学术

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Log-Likelihood Ratio Test for Spectrum Sensing With Truncated Covariance Matrix

Published:2024-05-15 Issue:10 Volume:11 Page:18205-18220
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Jin Ming¹^ORCID,Chen Guo¹,Guo Qinghua²^ORCID,Li Jun³^ORCID,Li Hai⁴

Affiliation:

1. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China

2. School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia

3. National Laboratory of Radar Signal Processing, Xidian University, Xi’an, China

4. Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China

Funder

Natural Science Foundation of China

Zhejiang Provincial Natural Science Funds for Distinguished Young Scholars

Ningbo Key Program of Natural Science Funds

Science and Technology Innovation 2025 Major Project of Ningbo

K. C. Wong Magna Fund in Ningbo University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10528217/10418160.pdf?arnumber=10418160

Reference43 articles.

1. Feature-Based Spectrum Sensing of NOMA System for Cognitive IoT Networks

2. Integrated Cooperative Spectrum Sensing and Access Control for Cognitive Industrial Internet of Things

3. Spectrum Sensing Using Multiple Large Eigenvalues and Its Performance Analysis

4. STBC: A Novel Blockchain-Based Spectrum Trading Solution

5. Revisiting Model Order Selection: A Sub-Nyquist Sampling Blind Spectrum Sensing Scheme

Cited by 1 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. Spectrum sensing in uncalibrated MIMO-based cognitive radios;Digital Signal Processing;2024-08

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