60 GHz Ultra-Wideband Channel Estimation Based on a Cluster Sparsity Compressed Sensing
The propagations of 60 GHz millimeter-wave system, which occupies an enormous operation bandwidth, are always known to be intensively dispersive. This may, in practice, pose great challenges to the estimation of channel state information. In this paper, the authors investigated a promising Compressed Sensing (CS) algorithm and its practical applications in the channel estimations of emerging 60 GHz millimeter-wave communications. By fully considering the particular characteristics of 60 GHz propagations and further utilizing another kind of channel sparsity, i.e., the specific block cluster sparsity embodied by the identified multiple clusters, a novel Cluster Sparsity Compressed Sensing (CS-CS) algorithm is proposed subsequently.