4 accepted papers
This paper presents a new method on transmitting data over linear time-variant (LTV) channels when no channel state estimation (CSI) is accessible. The considered receiver is equipped with multiple antennas and observes a superposition of delay-Doppler shifted versions of the transmitted signal. The…
It is common to model rapidly varying communication channels by time-varying linear systems. The output of a time-varying linear system can be described by a superposition of time-frequency (delay-Doppler) shifts of the input signal. This paper investigates a novel message transmission scheme over t…
This paper considers the problem of determining the sparse covariance matrix X of an unknown data vector x by observing the covariance matrix Y of a compressive measurement vector y = Ax. We construct deterministic sensing matrices A for which the recovery of a k-sparse covariance matrix X from m va…
We study support patterns for covariance matrices that appear in the problem of stochastic time-varying channel identification. The problem reduces to solving a linear system that is associated with a matrix in the form of a Kronecker product of a Gabor system matrix with itself, and therefore solva…