In Orthogonal Frequency Division Multiplexing (OFDM) systems, the technique used to
estimate and track the time-varying multipath channel is critical to ensure reliable, high data …

It is recognized that wireless channels often exhibit a sparse structure, especially for
wideband and ultra-wideband systems. In order to exploit this sparse structure and make it …

Compressed Sensing (CS)-based sparse channel estimation in a Bayesian framework for
Orthogonal Frequency Division Multiplexing (OFDM)-based communication systems is …

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 …

In orthogonal frequency division modulation (OFDM) communication systems, channel state
information (CSI) is required at receiver due to the fact that frequency‐selective fading …

In this article, we study the problem of joint carrier frequency offset (CFO) and sparse
channel estimation in orthogonal frequency-division multiplexing (OFDM) communication …

I. INTRODUCTION OrthogonalFrequencyDivisionMultiplexing (OFDM) isan eMcient
technique capable of establishing wide-band digital communications by making use of multi …

Compressive sensing (CS)-based channel estimation considerably reduces pilot symbols
usage by exploiting the sparsity of the propagation channel in the delay-Doppler domain. In …

The impulse response of a typical wireless multipath channel can be modeled as a tapped
delay line filter whose non-zero components are sparse relative to the channel delay …

Multi-band orthogonal frequency-division multiplexing (MB-OFDM) is an important
transmission technique for ultra-wideband (UWB) communication. One of the challenges for …