LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "data detection" as a keyword



Implicit vs. Explicit Approximate Matrix Inversion for Wideband Massive MU-MIMO Data Detection

Sign Up to like & get
recommendations! Published in 2018 at "Journal of Signal Processing Systems"

DOI: 10.1007/s11265-017-1313-z

Abstract: Massive multi-user (MU) MIMO wireless technology promises improved spectral efficiency compared to that of traditional cellular systems. While data-detection algorithms that rely on linear equalization achieve near-optimal error-rate performance for massive MU-MIMO systems, they require… read more here.

Keywords: detection; data detection; implicit explicit; matrix inversion ... See more keywords

Abnormal data detection for industrial processes using adversarial autoencoders support vector data description

Sign Up to like & get
recommendations! Published in 2022 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ac4f02

Abstract: Abnormal data detection for industrial processes is essential in industrial process monitoring and is an important technology to ensure production safety. However, for most industrial processes, it is a challenge to establish an effective abnormal… read more here.

Keywords: data detection; detection; industrial processes; model ... See more keywords

A novel abnormal data detection method based on dynamic adaptive local outlier factor for the vibration signals of rotating parts

Sign Up to like & get
recommendations! Published in 2023 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/accbda

Abstract: Abnormal signals are inevitable in big data acquired from harsh industrial environments. Abnormal data detection is a crucial component of condition monitoring for rotating parts and is also the premise of data cleaning, compensation, and… read more here.

Keywords: abnormal data; rotating parts; method based; data detection ... See more keywords

A Low Complexity Data Detection Algorithm for Uplink Multiuser Massive MIMO Systems

Sign Up to like & get
recommendations! Published in 2017 at "IEEE Journal on Selected Areas in Communications"

DOI: 10.1109/jsac.2017.2710878

Abstract: A major challenge for uplink multiuser massive multiple-input and multiple-output (MIMO) systems is the data detection problem at the receiver due to the substantial increase in the dimensions of MIMO systems. The optimal maximum likelihood… read more here.

Keywords: data detection; complexity; uplink multiuser; multiuser massive ... See more keywords

Data Detection With CFO Uncertainty and Nonlinearity for mmWave MIMO-OFDM Systems

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Systems Journal"

DOI: 10.1109/jsyst.2021.3093333

Abstract: The nonlinear distortions attributed by radio frequency power amplifiers (PAs) are inevitable in millimeter-wave (mmWave) systems due to the high frequency and large bandwidth. This nonlinearity induces multiplicative distortion and intercarrier interference in mmWave multiple-input-multiple-output… read more here.

Keywords: detection cfo; nonlinearity; frequency; data detection ... See more keywords

Multiuser Activity and Data Detection via Sparsity-Blind Greedy Recovery for Uplink Grant-Free NOMA

Sign Up to like & get
recommendations! Published in 2019 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2019.2937117

Abstract: Exploiting the sparse activity of users, compressed sensing (CS) has been of interest in multiuser detection (MUD) for non-orthogonal multiple access (NOMA), to enable a massive connection of users in machine-type communications (MTC). In this… read more here.

Keywords: activity data; activity; multiuser activity; sparsity ... See more keywords

Separate Channel Estimation and Data Detection for Semi-Passive RIS-Empowered Massive MIMO

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2024.3407514

Abstract: This letter investigates the channel estimation and data detection for semi-passive reconfigurable intelligent surface (RIS) assisted millimeter wave massive multiple-input-multiple-output systems. We first achieve the coarse user-to-RIS and RIS-to-base station channels by leveraging partial active… read more here.

Keywords: channel estimation; data detection; ris; estimation data ... See more keywords

Learning From Noisy Labels for MIMO Detection With One-Bit ADCs

Sign Up to like & get
recommendations! Published in 2023 at "IEEE Wireless Communications Letters"

DOI: 10.1109/lwc.2022.3230403

Abstract: This letter presents a data detection method for multiple-input multiple-output systems with one-bit analog-to-digital converters. The basic idea is to learn the likelihood function of the system from training samples. To this end, a training… read more here.

Keywords: noisy labels; one bit; data detection; learning noisy ... See more keywords
Photo by radowanrehan from unsplash

Bad Data Detection in the Context of Leverage Point Attacks in Modern Power Networks

Sign Up to like & get
recommendations! Published in 2018 at "IEEE Transactions on Smart Grid"

DOI: 10.1109/pesgm.2017.8274244

Abstract: This paper demonstrates a concept to detect bad data in state estimation when the leverage measurements are tampered with gross error. The concept is based on separating leverage measurements from non-leverage measurements by a technique… read more here.

Keywords: data detection; bad data; leverage measurements; power ... See more keywords

A Partially Labeled Anomaly Data Detection Approach Based on Prioritized Deep Reinforcement Learning for Consumer Electronics Security

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Transactions on Consumer Electronics"

DOI: 10.1109/tce.2024.3445629

Abstract: Anomalies within data flows in the Internet of Things environment can potentially result in security vulnerabilities in consumer electronics. Therefore, it is crucial to effectively detect anomaly data to safeguard the reliability and continuous functionality… read more here.

Keywords: detection; data detection; anomaly data; consumer electronics ... See more keywords

Joint Bayesian Channel Estimation and Data Detection for OTFS Systems in LEO Satellite Communications

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Transactions on Communications"

DOI: 10.1109/tcomm.2022.3179389

Abstract: Lower earth orbit (LEO) satellites play an important role in the integration of space and terrestrial communication networks, which typically encounter high-mobility scenarios. It has been shown that orthogonal time frequency space (OTFS) modulation performs… read more here.

Keywords: satellite communications; leo satellite; estimation data; channel estimation ... See more keywords