Low Complexity Sub-Nyquist Wideband Spectrum Sensing for Cognitive Radio

Low Complexity Sub-Nyquist Wideband Spectrum Sensing for Cognitive Radio

In order to provide more available spectrum and quickly switchover, wideband spectrum sensing (WSS) is desirable for cognitive radio. Sub-Nyquist sampling is crucial for WSS to reduce energy and computational costs, while the existing algorithms based on sub-Nyquist sampling either compute very comp...

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Bibliographic Details
Main Authors: Jian Yang, Min Jia, Xuemai Gu, Qing Guo
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Wideband spectrum sensing
compressed sensing
sub-Nyquist sampling
multi-coset sampling
support detection
Online Access:https://ieeexplore.ieee.org/document/8434201/

Internet

https://ieeexplore.ieee.org/document/8434201/

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