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Titel:

A Hybrid Approach for Multi-User Massive MIMO Sparse Channel Estimation Based on Bayesian Recovery and Hard Thresholding

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Poster
Autor(en):
García-Gómez, Francisco Javier; Munir, Jawad; Mezghani, Amine; Nossek, Josef A.
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...     »
Stichworte:
Channel estimation, MIMO, Bayes methods, Estimation, Antenna arrays
Dewey-Dezimalklassifikation:
620 Ingenieurwissenschaften
Herausgeber:
IEEE
Kongress- / Buchtitel:
IEEE Globecom 2015
Datum der Konferenz:
6-10 December 2015
Jahr:
2015
Jahr / Monat:
2015-12
Monat:
Dec
E-ISBN:
978-1-4673-9526-7
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi: 10.1109/GLOCOMW.2015.7414028
WWW:
http://ieeexplore.ieee.org/document/7414028/
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