MIMO Channel-State Estimation in the Presence of Partial Data and/or Intermittent Measurements

MIMO Channel-State Estimation in the Presence of Partial Data and/or Intermittent Measurements

We propose a method for estimating the channel matrix in MIMO communication systems from intermittent measurements based on the matrix completion technique. The method requires the minimization of the trace norm of the partially known channel matrix. The availability of fast and efficient convex min...

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Main Authors: Marco Donald Migliore, Daniele Pinchera, Mario Lucido, Fulvio Schettino, Gaetano Panariello
Format: Article
Language:English
Published: MDPI AG 2017-04-01
Series:Electronics
Subjects:
MIMO communication systems
channel state estimation
matrix completion
Online Access:http://www.mdpi.com/2079-9292/6/2/33
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spelling doaj-7b07406699034ff68f6d88d0b0088eea2020-11-24T21:47:24ZengMDPI AGElectronics2079-92922017-04-01623310.3390/electronics6020033electronics6020033MIMO Channel-State Estimation in the Presence of Partial Data and/or Intermittent MeasurementsMarco Donald Migliore0Daniele Pinchera1Mario Lucido2Fulvio Schettino3Gaetano Panariello4Dipartimento di Ingegneria Elettrica e dell’Informazione “Maurizio Scarano” (DIEI), University of Cassino and Southern Lazio, via G. Di Biasio 43, 03043 Cassino, ItalyDipartimento di Ingegneria Elettrica e dell’Informazione “Maurizio Scarano” (DIEI), University of Cassino and Southern Lazio, via G. Di Biasio 43, 03043 Cassino, ItalyDipartimento di Ingegneria Elettrica e dell’Informazione “Maurizio Scarano” (DIEI), University of Cassino and Southern Lazio, via G. Di Biasio 43, 03043 Cassino, ItalyDipartimento di Ingegneria Elettrica e dell’Informazione “Maurizio Scarano” (DIEI), University of Cassino and Southern Lazio, via G. Di Biasio 43, 03043 Cassino, ItalyDipartimento di Ingegneria Elettrica e dell’Informazione “Maurizio Scarano” (DIEI), University of Cassino and Southern Lazio, via G. Di Biasio 43, 03043 Cassino, ItalyWe propose a method for estimating the channel matrix in MIMO communication systems from intermittent measurements based on the matrix completion technique. The method requires the minimization of the trace norm of the partially known channel matrix. The availability of fast and efficient convex minimization programs allows a numerically efficient solution of the problem. The effectiveness of the technique is numerically investigated considering different scattering environments.http://www.mdpi.com/2079-9292/6/2/33MIMO communication systemschannel state estimationmatrix completion
collection DOAJ
language English
format Article
sources DOAJ
author Marco Donald Migliore
Daniele Pinchera
Mario Lucido
Fulvio Schettino
Gaetano Panariello
spellingShingle Marco Donald Migliore
Daniele Pinchera
Mario Lucido
Fulvio Schettino
Gaetano Panariello
MIMO Channel-State Estimation in the Presence of Partial Data and/or Intermittent Measurements
Electronics
MIMO communication systems
channel state estimation
matrix completion
author_facet Marco Donald Migliore
Daniele Pinchera
Mario Lucido
Fulvio Schettino
Gaetano Panariello
author_sort Marco Donald Migliore
title MIMO Channel-State Estimation in the Presence of Partial Data and/or Intermittent Measurements
title_short MIMO Channel-State Estimation in the Presence of Partial Data and/or Intermittent Measurements
title_full MIMO Channel-State Estimation in the Presence of Partial Data and/or Intermittent Measurements
title_fullStr MIMO Channel-State Estimation in the Presence of Partial Data and/or Intermittent Measurements
title_full_unstemmed MIMO Channel-State Estimation in the Presence of Partial Data and/or Intermittent Measurements
title_sort mimo channel-state estimation in the presence of partial data and/or intermittent measurements
publisher MDPI AG
series Electronics
issn 2079-9292
publishDate 2017-04-01
description We propose a method for estimating the channel matrix in MIMO communication systems from intermittent measurements based on the matrix completion technique. The method requires the minimization of the trace norm of the partially known channel matrix. The availability of fast and efficient convex minimization programs allows a numerically efficient solution of the problem. The effectiveness of the technique is numerically investigated considering different scattering environments.
topic MIMO communication systems
channel state estimation
matrix completion
url http://www.mdpi.com/2079-9292/6/2/33
work_keys_str_mv AT marcodonaldmigliore mimochannelstateestimationinthepresenceofpartialdataandorintermittentmeasurements
AT danielepinchera mimochannelstateestimationinthepresenceofpartialdataandorintermittentmeasurements
AT mariolucido mimochannelstateestimationinthepresenceofpartialdataandorintermittentmeasurements
AT fulvioschettino mimochannelstateestimationinthepresenceofpartialdataandorintermittentmeasurements
AT gaetanopanariello mimochannelstateestimationinthepresenceofpartialdataandorintermittentmeasurements
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