Sparse-Bayesian-Learning-Based Wideband Spectrum Sensing With Simplified Modulated Wideband Converter

Wideband spectrum sensing is an important aspect of cognitive radio systems. In current models of wide spectrum sensing, a discrete frequency denotes a continuous frequency band. This type of model is divorced from practice and cannot reflect the reality of spectrum occupation. In this paper, we pro...

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Үндсэн зохиолчид:	Yulong Gao, Yanping Chen, Yongkui Ma
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2018-01-01
Цуврал:	IEEE Access
Нөхцлүүд:	Wideband spectrum sensing simplified modulated wideband converter (MWC) sparse Bayesian learning (SBL) the support set of signals compressed sensing multiple measurement vector (MMV)
Онлайн хандалт:	https://ieeexplore.ieee.org/document/8125074/
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