… channel dimensions, researchers have been investigating the low-rank (sparse) properties
of channel … overview of the current low-rank channel estimation approaches, including their …

… channel has a simultaneously sparse and low-rank structure. Our objective is to estimate/recover
the joint sparse and lowrank virtual channel … Estimation of low-rank matrices or sparse …

… nels, we consider estimation of wideband mmWave channels … -based method for channel
parameter estimation (including … low-rank CP, and the channel parameters can be estimated …

… Of course, the use of low-rank spatial structure is widelyused in … channel estimation for
wireless systems [27]–[29]. The contribution in this work is to consider low-rank channel estimation …

… reduction in the estimation of the covariance matrices. … low-rank LMMSE channel estimation
of MIMO-OFDM sys- … study, first, a generalized lowrank channel estimator for the comb-type …

… efficient channel estimation algorithms in timevarying mmWave massive MIMO systems.
In this work, a novel channel estimation algorithm by exploiting the block-sparse and low-rank …

… proposed lowrank estimator is also applicable. In this case our proposed channel estimator
is … on which pilots are transmitted are used for channel estimation, not all tones. The optimal …

… The MSE bounds of the temporal estimated channel parameters are then derived. Using …
low rank channel estimator for space-time coded OFDM based on the general reduced-rank …

… channel estimator provides significant performance gain over least square (LS) one. We
also show that the low-rank LMMSE channel estimator … with LMMSE one for low signal-to-noise …

… In this paper, we develop a new tensor-decomposition channel estimation method for IRS-…
low-rank third-order tensor by exploiting the inherent sparse structure of the cascade channel…