Recursive Least Squares-Based Adaptive Parameter Estimation Scheme for Signal Transformation and Grid Synchronization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Emerging and Selected Topics in Power Electronics"
DOI: 10.1109/jestpe.2020.2970445
Abstract: Utility-interfaced power electronic systems use a grid synchronizing framework, known as phase-locked loop and need a transformation of sinusoidal signals to rotating dq reference frame for control purposes. The voltage or current signal parameters, including… read more here.
Keywords: recursive least; least squares; signal transformation; estimation scheme ... See more keywords
Low-Complexity Adaptive Chromatic Dispersion Estimation Scheme Using Machine Learning for Coherent Long-Reach Passive Optical Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Photonics Journal"
DOI: 10.1109/jphot.2019.2936426
Abstract: In the coherent long-reach passive optical networks (LRPON), it is crucial to propose cost-effective digital signal processing (DSP) technologies to reduce the overall complexity and power consumption. This paper has proposed a low-complexity chromatic dispersion… read more here.
Keywords: estimation; estimation scheme; coherent long; complexity ... See more keywords
Deep Learning-Based Channel Estimation for Massive MIMO Systems
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2019.2912378
Abstract: In this letter, we propose a deep learning (DL)-based channel estimation scheme for the massive multiple-input multiple-output (MIMO) system. Unlike existing studies, we develop the channel estimation scheme for the case that the pilot length… read more here.
Keywords: estimation scheme; channel estimation; learning based; estimation ... See more keywords
Partition-Based Distributed Kalman Filter With Plug and Play Features
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2016.2633786
Abstract: In this paper, we propose a novel partition-based distributed state estimation scheme for non-overlapping subsystems based on Kalman filter. The estimation scheme is designed in order to account, in a rigorous fashion, for dynamic coupling… read more here.
Keywords: partition based; estimation; kalman filter; estimation scheme ... See more keywords
A Decoupling Estimation Scheme for Rotor Resistance and Mutual Inductance in Indirect Vector Controlled Induction Motor Drives
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Energy Conversion"
DOI: 10.1109/tec.2018.2880796
Abstract: Coupling between the two parameter estimation loops, for rotor resistance and mutual inductance of an induction motor (IM), is presented and the resulting negative effects are discussed in this paper. To solve this problem, an… read more here.
Keywords: estimation scheme; scheme; estimation; rotor resistance ... See more keywords
Time-Varying Channel Estimation Scheme for Uplink MU-MIMO in 6G Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3192902
Abstract: Channel estimation is a challenging issue for millimeter wave (mmWave) and massive multiple-input multiple-output (MIMO) in the future sixth generation (6G) wireless systems, where the conventional estimation schemes may fail to track the fast varying… read more here.
Keywords: time; channel estimation; estimation scheme; mimo ... See more keywords