Low overhead channel estimation based on compressive sensing (CS) has been widely
investigated for hybrid wideband millimeter wave (mmWave) multiple-input multiple-output …

Millimeter-wave (mmWave) communication has been widely considered as a key enabler for
the future wireless systems. To combat the high propagation loss associated with mmWave …

Channel estimation and data detection constitute a pair of pivotal modules in multiple-input
multiple-output (MIMO) communication systems, where achieving accurate channel …

Bayesian learning aided massive antenna array based THz MIMO systems are designed for
spatial-wideband and frequency-wideband scenarios, collectively termed as the dual …

Accurate beamspace channel estimation is critical in wideband millimeter-wave (mmWave)
massive multiple-input multiple-output (MIMO) communication systems. However, the beam …

In this paper, we propose a novel vehicle positioning method for commodity multiple-input
multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) WIFI systems in …

For direction-of-arrival (DOA) estimation problems in a sparse domain, sparse Bayesian
learning (SBL) is highly favored by researchers owing to its excellent estimation …

In this paper we investigate the problem of joint active user detection (AUD) and channel
estimation (CE) in massive machine-type communications (mMTC) scenario with a massive …

Energy-efficient, highly integrated lens antenna arrays (LAAs) have found widespread
applications in wideband millimeter wave or terahertz communications, localization and …

Loop closure detection is an important aspect of simultaneous localization and mapping
(SLAM) to correct long-term drift by finding overlapping trajectories. However, in multipath …