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...

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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

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