Blind Orthogonal Least Squares Based Compressive Spectrum Sensing-Reference-Cited by-同舟云学术

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Blind Orthogonal Least Squares Based Compressive Spectrum Sensing

Published:2023-12 Issue:12 Volume:72 Page:16772-16776
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Lu Liyang¹^ORCID,Xu Wenbo¹^ORCID,Wang Yue²^ORCID,Tian Zhi³^ORCID

Affiliation:

1. Key Lab of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China

2. Department of Computer Science, Georgia State University, Atlanta, GA, USA

3. Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA

Funder

National Natural Science Foundation of China

National Science Foundation

Virginia Research Investment Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

https://ieeexplore.ieee.org/ielam/25/10364906/10164225-aam.pdf

Reference18 articles.

1. Double Threshold Spectrum Sensing Methods in Spectrum-Scarce Vehicular Communications

2. Sparsity Order Estimation and its Application in Compressive Spectrum Sensing for Cognitive Radios

3. A Two-Step Compressed Spectrum Sensing Scheme for Wideband Cognitive Radios

4. Collecting Detection Diversity and Complexity Gains in Cooperative Spectrum Sensing

5. A blind stopping condition for orthogonal matching pursuit with applications to compressive sensing radar

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