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Document type:
Konferenzbeitrag 
Contribution type:
Poster 
Author(s):
Garcia, J.; Munir, J.; Mezghani, A.; Nossek, J. A. 
Title:
A Hybrid Approach for Multi-User Massive MIMO Sparse Channel Estimation Based on Bayesian Recovery and Hard Thresholding 
Abstract:
We propose an efficient sparse channel estimation algorithm based on the compressed sensing (CS) approach for large scale multi-user (MU) MIMO systems. The proposed scheme is a hybrid one comprising Bayesian and greedy methods. It can improve the estimation performance by incorporating the spatial channel knowledge that the neighboring antennas in an array share the same support. The pilot overhead can be reduced by utilizing the data symbols using a reliability measure for channel estimation. M...    »
 
Keywords:
Channel estimation, MIMO, Bayes methods, Estimation, Antenna arrays 
Dewey Decimal Classification:
620 Ingenieurwissenschaften 
Editor:
IEEE 
Book / Congress title:
IEEE Globecom 2015 
Date of congress:
6-10 December 2015 
Year:
2015 
Year / month:
2015-12 
Month:
Dec 
E-ISBN:
978-1-4673-9526-7 
Reviewed:
ja 
Language:
en