30 citations · 63 across the 8 of their papers we have counts for
5 papers · 1 filter
Compressive Spectrum Sensing Using Blind-Block Orthogonal Least Squares
Liyang Lu, Wenbo Xu, Yue Wang +1
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 know…
Compressive Spectrum Sensing Using Sampling-Controlled Block Orthogonal Matching Pursuit
Liyang Lu, Wenbo Xu, Yue Wang +1
This paper proposes two novel schemes of wideband compressive spectrum sensing (CSS) via block orthogonal matching pursuit (BOMP) algorithm, for achieving high sensing accuracy in…
Downlink Massive MIMO Channel Estimation via Deep Unrolling : Sparsity Exploitations in Angular Domain
An Chen, Wenbo Xu, Liyang Lu +1
In frequency division duplex (FDD) massive MIMO systems, reliable downlink channel estimation is essential for the subsequent data transmission but is realized at the cost of massi…
Blind Orthogonal Least Squares based Compressive Spectrum Sensing
Liyang Lu, Wenbo Xu, Yue Wang +1
As an enabling technique of cognitive radio (CR), compressive spectrum sensing (CSS) based on compressive sensing (CS) can detect the spectrum opportunities from wide frequency ban…
Recovery Conditions of Sparse Signals Using Orthogonal Least Squares-Type Algorithms
L. Lu, W. Xu, Y. Wang +1
Orthogonal least squares (OLS)-type algorithms are efficient in reconstructing sparse signals, which include the well-known OLS, multiple OLS (MOLS) and block OLS (BOLS). In this p…