Channel Estimation for Millimeter Wave Massive MIMO Systems Using Separable Compressive Sensing
IEEE Access, 2021 Channel estimation is a fundamental problem for downlink transmission in millimeter wave (mmWave) multiple input multiple output (MIMO) systems. This paper proposes a channel estimation algorithm by exploiting the separable structured sparsity of mmWave ...
Ting Jiang +3 more
doaj +1 more source
Machine Learning-Based 5G-and-Beyond Channel Estimation for MIMO-OFDM Communication Systems
Sensors, 2021 Channel estimation plays a critical role in the system performance of wireless networks. In addition, deep learning has demonstrated significant improvements in enhancing the communication reliability and reducing the computational complexity of 5G-and ...
Ha An Le +4 more
doaj +1 more source
Multipath-channel estimation and application to ionospheric channels [PDF]
Wireless Networks, 2011 0 ...
Santiago Zazo +3 more
openaire +2 more sources
5G Positioning and Mapping with Diffuse Multipath [PDF]
, 2020 5G mmWave communication is useful for positioning due to the geometric connection between the propagation channel and the propagation environment. Channel estimation methods can exploit the resulting sparsity to estimate parameters(delay and angles) of ...
Kulmer, Josef +3 more
core +3 more sources
Optimal channels for channelized quadratic estimators
Journal of the Optical Society of America A, 2016 We present a new method for computing optimized channels for estimation tasks that is feasible for high-dimensional image data. Maximum-likelihood (ML) parameter estimates are challenging to compute from high-dimensional likelihoods. The dimensionality reduction from M measurements to L channels is a critical advantage of channelized quadratic ...
Eric Clarkson, Meredith Kupinski
openaire +3 more sources
Performance of adaptive bayesian equalizers in outdoor environments [PDF]
, 1997 Outdoor communications are affected by multipath propagation that imposes an upper limit on the system data rate and restricts possible applications. In order to overcome the degrading effect introduced by the channel, conventional equalizers implemented
Casadevall Palacio, Fernando José +1 more
core +1 more source
Two-Way Training for Discriminatory Channel Estimation in Wireless MIMO Systems [PDF]
, 2013 This work examines the use of two-way training to efficiently discriminate the channel estimation performances at a legitimate receiver (LR) and an unauthorized receiver (UR) in a multiple-input multiple-output (MIMO) wireless system.
Chang, Tsung-Hui +3 more
core +1 more source
Compressive sensing based Bayesian sparse channel estimation for OFDM communication systems: high performance and low complexity [PDF]
, 2014 In orthogonal frequency division modulation (OFDM) communication systems, channel state information (CSI) is required at receiver due to the fact that frequency-selective fading channel leads to disgusting inter-symbol interference (ISI) over data ...
Adachi, Fumiyuki +3 more
core +4 more sources
Fast Sparse Bayesian Learning-Based Channel Estimation for Underwater Acoustic OFDM Systems
Applied Sciences, 2022 Harsh underwater channels and energy constraints are the two critical issues of underwater acoustic (UWA) communications. To achieve a high channel estimation performance under a severe underwater channel, sparse Bayesian learning (SBL)-based channel ...
Yong-Ho Cho
doaj +1 more source
An Iterative Receiver for OFDM With Sparsity-Based Parametric Channel Estimation [PDF]
, 2018 In this work we design a receiver that iteratively passes soft information between the channel estimation and data decoding stages. The receiver incorporates sparsity-based parametric channel estimation.
Badiu, Mihai-Alin +3 more
core +2 more sources