Compressive spectrum sensing using sampling-controlled block orthogonal matching pursuit
This paper proposes two novel schemes of wideband compressive spectrum sensing (CSS)
via block orthogonal matching pursuit (BOMP) algorithm, for achieving high sensing …
via block orthogonal matching pursuit (BOMP) algorithm, for achieving high sensing …
Supervised dictionary learning for block threshold feature in compressive spectrum sensing
With the development of communication systems towards the high-frequency band, the
demand for spectrum resources is ever-increasing, where the research interest has changed …
demand for spectrum resources is ever-increasing, where the research interest has changed …
Compressive spectrum sensing using blind-block orthogonal least squares in cognitive sensor networks
In cognitive sensor networks (CSNs), compressive spectrum sensing (CSS) has been shown
as a promising candidate for improving the recovery performance based on the signal …
as a promising candidate for improving the recovery performance based on the signal …
Near-Field Channel Estimation in Dual-Band XL-MIMO with Side Information-Assisted Compressed Sensing
H Wu, L Lu, Z Wang - arXiv preprint arXiv:2403.12620, 2024 - arxiv.org
Near-field communication comes to be an indispensable part of the future sixth generation
(6G) communications at the arrival of the forth-coming deployment of extremely large-scale …
(6G) communications at the arrival of the forth-coming deployment of extremely large-scale …
Compressive spectrum sensing using blind-block orthogonal least squares
Compressive sensing (CS) has recently emerged as an extremely efficient technology of the
wideband spectrum sensing. In compressive spectrum sensing (CSS), it is necessary to …
wideband spectrum sensing. In compressive spectrum sensing (CSS), it is necessary to …
Gamma‐distribution‐based logit weighted block orthogonal matching pursuit for compressed sensing
Block orthogonal matching pursuit is an efficient reconstruction algorithm in compressed
sensing, which exploits block sparsity during support index selection. In this letter, to further …
sensing, which exploits block sparsity during support index selection. In this letter, to further …