Adaptive semi-blind space-time equalisation for frequency selective Rayleigh fading MIMO systems
Adaptive semi-blind space-time equalisation for frequency selective Rayleigh fading MIMO systems
An adaptive semi-blind space-time equaliser (STE) has recently been proposed based on a concurrent gradient-Newton constant modulus algorithm and soft decision-directed scheme for dispersive multiple-input multiple-output (MIMO) systems that employ high-throughput quadrature amplitude modulation signalling. We investigate the performance of this adaptive semi-blind STE operating in Rayleigh fading MIMO systems. Our results obtained show that the tracking performance of this semi-blind adaptive algorithm is close to that of the training-based recursive least squares algorithm. This study, therefore, demonstrates that the proposed semi-blind algorithm offers a practical means to adapt a STE in the hostile dispersive Rayleigh fading MIMO environment.
5 pages
Cheng, Huiting
a79d31d4-0295-4760-a8fa-0da77bad71fc
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Yamao, Yasushi
308eaf37-4988-45f3-8b27-0c678dc92b8e
May 2011
Cheng, Huiting
a79d31d4-0295-4760-a8fa-0da77bad71fc
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Yamao, Yasushi
308eaf37-4988-45f3-8b27-0c678dc92b8e
Cheng, Huiting, Chen, Sheng and Yamao, Yasushi
(2011)
Adaptive semi-blind space-time equalisation for frequency selective Rayleigh fading MIMO systems.
VTC 2011 Spring, Budapest, Hungary.
15 - 18 May 2011.
.
Record type:
Conference or Workshop Item
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Abstract
An adaptive semi-blind space-time equaliser (STE) has recently been proposed based on a concurrent gradient-Newton constant modulus algorithm and soft decision-directed scheme for dispersive multiple-input multiple-output (MIMO) systems that employ high-throughput quadrature amplitude modulation signalling. We investigate the performance of this adaptive semi-blind STE operating in Rayleigh fading MIMO systems. Our results obtained show that the tracking performance of this semi-blind adaptive algorithm is close to that of the training-based recursive least squares algorithm. This study, therefore, demonstrates that the proposed semi-blind algorithm offers a practical means to adapt a STE in the hostile dispersive Rayleigh fading MIMO environment.
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More information
Published date: May 2011
Additional Information:
Event Dates: May 15-18, 2011
Venue - Dates:
VTC 2011 Spring, Budapest, Hungary, 2011-05-15 - 2011-05-18
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 272278
URI: http://eprints.soton.ac.uk/id/eprint/272278
PURE UUID: a60a2aaa-6d76-4851-b7f7-d3e265b44520
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Date deposited: 12 May 2011 16:22
Last modified: 14 Mar 2024 09:51
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Contributors
Author:
Huiting Cheng
Author:
Sheng Chen
Author:
Yasushi Yamao
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