2016
Millimeter wave communications channel estimation via Bayesian group sparse recovery
ICASSP 2016accepted
We consider the problem of channel estimation for millimeter wave communications (mmWave). We formulate channel estimation as a structured sparse signal recovery problem, in which the signal structure is governed by a priori knowledge of the channel characteristics. We develop a Bayesian group spars…