Wireless transceivers for mass-market applications must be cost effective. We may achieve
this goal by deploying non-ideal low-cost radio frequency (RF) analog components …

To address the architecture complexity and ill-posed problems of neural networks when
dealing with high-dimensional data, this article presents a Bayesian-learning-based sparse …

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

Discrete fractional Fourier transform (DFRFT) based orthogonal frequency division
multiplexing (OFDM) system significantly outperforms the conventional discrete Fourier …

In orthogonal frequency division multiple access (OFDMA) systems, carrier frequency offsets
(CFOs) influence the different users. In this paper, we proposed a CFO estimation algorithm …

Carrier frequency offset (CFO) and channel equalization are two critical problems for
multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) …

In this paper, we derive the Cramér–Rao lower bounds (CRLB) for direction of arrival (DoA)
estimation by using sparse Bayesian learning (SBL) and the Laplace prior. CRLB is a lower …

Detection of cyclostationary (CS) signals has been addressed by means of generalized
likelihood ratio test criteria. However, an accurate maximum likelihood estimator requires the …

Reconfigurable intelligent surface (RIS) has been widely studied in recent years, since it can
be integrated into the orthogonal frequency-division multiple access (OFDMA) system to …