It is well known that the impulse response of a wideband wireless channel is approximately
sparse, in the sense that it has a small number of significant components relative to the …

Existing methods for sparse channel estimation typically provide an estimate computed as
the solution maximizing an objective function defined as the sum of the log-likelihood …

The impulse response of wireless channels between the Nt transmit and Nr receive
antennas of a MIMO-OFDM system are group approximately sparse (ga-sparse), ie, the NtNr …

A novel sparse channel state information (CSI) estimation scheme is proposed for
orthogonal time frequency space (OTFS) modulated systems, in which the pilots are directly …

In communication systems, efficient use of the spectrum is an indispensable concern.
Recently the use of compressed sensing for the purpose of estimating orthogonal frequency …

We propose a simple sparse channel estimation and tracking method for orthogonal
frequency-division multiplexing (OFDM) systems based on a dynamic parametric channel …

This paper investigates the pilot placement problem for sparse channel estimation in
orthogonal frequency division multiplexing (OFDM) systems. Prompted by the success of the …

This paper presents a novel recovery algorithm based on sparsity adaptive matching pursuit
(SaMP) and a new near-optimal pilot placement scheme, for compressed sensing (CS) …

In this paper, a very efficient semi-blind approach for the detection of most significant taps
(MSTs) in sparse orthogonal frequency-division multiplexing (OFDM) channel estimation is …

Broadband signal transmission over frequency-selective fading channel often requires
accurate channel state information at receiver. One of the most attracting adaptive channel …