A Low Complexity Sensing Algorithm for Non-Sparse Wideband Spectrum

A Low Complexity Sensing Algorithm for Non-Sparse Wideband Spectrum

The vast majority of existing sub-Nyquist sampling wideband spectrum sensing (WSS) methods default to a sparse spectrum. However, research data suggests that in the near future, the wideband spectrum will no longer be sparse. This article proposes a sub-Nyquist sampling WSS algorithm that can adapt...

Full description

Bibliographic Details
Main Authors: Shiyu Ren, Wantong Chen, Hailong Wu, Dongxia Li, Zhongwei Hu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
wideband spectrum sensing
non-sparse spectrum
folded time-frequency spectrum
time-frequency subband classification
Online Access:https://www.mdpi.com/1424-8220/22/16/6295

Internet

https://www.mdpi.com/1424-8220/22/16/6295

Similar Items