Semi-blind iterative joint channel estimation and K-best sphere decoding for MIMO
Semi-blind iterative joint channel estimation and K-best sphere decoding for MIMO
An efficient and high-performance semi-blind scheme is proposed for Multiple-Input Multiple-Output (MIMO) systems by iteratively combining channel estimation with K-Best Sphere Decoding (SD). To avoid the exponentially increasing complexity of Maximum Likelihood Detection (MLD) while achieving a near optimal MLD performance, K-best SD is considered to accomplish data detection. Semi-blind iterative estimation is adopted for identifying the MIMO channel matrix. Specifically, a training-based least squares channel estimate is initially provided to the K-best SD data detector, and the channel estimator and the data detector then iteratively exchange information to perform the decision-directed channel update and consequently to enhance the detection performance. The proposed scheme is capable of approaching the ideal detection performance obtained with the perfect MIMO channel state information.
Dey, Indrakshi
c155baa9-5bdb-4be1-9f92-e36050f4ea20
Messier, G.G.
2f3f3949-e6ff-4b61-97d5-1761c92eee2a
Magierowski, S.
7890ee55-4864-4612-8dc7-a0d2c946a28d
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
August 2013
Dey, Indrakshi
c155baa9-5bdb-4be1-9f92-e36050f4ea20
Messier, G.G.
2f3f3949-e6ff-4b61-97d5-1761c92eee2a
Magierowski, S.
7890ee55-4864-4612-8dc7-a0d2c946a28d
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Dey, Indrakshi, Messier, G.G., Magierowski, S. and Chen, Sheng
(2013)
Semi-blind iterative joint channel estimation and K-best sphere decoding for MIMO.
2013 IEEE Pacific Rim Conf erence on Communications, Computers and Signal Processing, Victoria, Canada.
27 - 29 Aug 2013.
4 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
An efficient and high-performance semi-blind scheme is proposed for Multiple-Input Multiple-Output (MIMO) systems by iteratively combining channel estimation with K-Best Sphere Decoding (SD). To avoid the exponentially increasing complexity of Maximum Likelihood Detection (MLD) while achieving a near optimal MLD performance, K-best SD is considered to accomplish data detection. Semi-blind iterative estimation is adopted for identifying the MIMO channel matrix. Specifically, a training-based least squares channel estimate is initially provided to the K-best SD data detector, and the channel estimator and the data detector then iteratively exchange information to perform the decision-directed channel update and consequently to enhance the detection performance. The proposed scheme is capable of approaching the ideal detection performance obtained with the perfect MIMO channel state information.
Text
pacrim2013.pdf
- Version of Record
More information
Published date: August 2013
Venue - Dates:
2013 IEEE Pacific Rim Conf erence on Communications, Computers and Signal Processing, Victoria, Canada, 2013-08-27 - 2013-08-29
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 358531
URI: http://eprints.soton.ac.uk/id/eprint/358531
PURE UUID: 72c8a4d4-e809-4c27-b796-8df6e09484d1
Catalogue record
Date deposited: 15 Oct 2013 15:30
Last modified: 14 Mar 2024 15:05
Export record
Contributors
Author:
Indrakshi Dey
Author:
G.G. Messier
Author:
S. Magierowski
Author:
Sheng Chen
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics