Sparse Bayesian Learning For Joint Channel Estimation Data Detection In OFDM Systems

Sparse Bayesian Learning For Joint Channel Estimation Data Detection In OFDM Systems

Bayesian approaches for sparse signal recovery have enjoyed a long-standing history in signal processing and machine learning literature. Among the Bayesian techniques, the expectation maximization based Sparse Bayesian Learning(SBL) approach is an iterative procedure with global convergence guarant...

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Bibliographic Details
Main Author: Prasad, Ranjitha
Other Authors: Murthy, Chandra R
Language:en_US
Published: 2018
Subjects:
Sparse Bayesian Learning
Signal Processing
Machine Learning
Wireless Communication
MIMO-OFDM Systems
Data Detection
Channel Estimation
Multiple Input Multiple Output (MIMO) Communication
Fading Channels
Sparse Wireless Channel Estimation
Orthogonal Frequency Division Multiplexing (OFDM)
Kalman Filters
Autoregressive Processes
Bayesian Learning
Joint Channel Estimation
Communication Engineering
Online Access:http://etd.iisc.ernet.in/2005/3997
http://etd.iisc.ernet.in/abstracts/4895/G26743-Abs.pdf

Internet

http://etd.iisc.ernet.in/2005/3997
http://etd.iisc.ernet.in/abstracts/4895/G26743-Abs.pdf

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