Multi-stage blind clustering equaliser
Multi-stage blind clustering equaliser
A multi-stage blind clustering algorithm is proposed for equalisation of multi-level quadrature amplitute modulation (M-QAM) channels. A hierarchical decomposition divides the task of equalising a high-order QAM channel into much simpler sub-tasks. Each sub-task can be accomplished fast and reliably using a blind clustering algorithm derived originally for 4-QAM signals. The constant modulus algorithm (CMA) is used as a benchmark to assess this multi-stage blind equaliser. It is demonstrated that the new blind algorithm achieves much faster convergence and is very robust when input symbols are not sufficiently white. This multi-stage clustering equaliser only requires slightly more computations than the CMA and, like the latter, its computational complexity does not increase as the levels of digital symbols increase.
701-705
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
McLaughlin, S.
d8651585-025f-4ea9-bd15-cef87f323624
Grant, P. M.
e527fff4-da0f-4bc4-91cf-eed522070300
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
1 April 1995
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
McLaughlin, S.
d8651585-025f-4ea9-bd15-cef87f323624
Grant, P. M.
e527fff4-da0f-4bc4-91cf-eed522070300
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
Chen, S., McLaughlin, S., Grant, P. M. and Mulgrew, B.
(1995)
Multi-stage blind clustering equaliser.
IEEE Transactions on Communications, 43 (2/3/4), .
(doi:10.1109/26.380093).
Abstract
A multi-stage blind clustering algorithm is proposed for equalisation of multi-level quadrature amplitute modulation (M-QAM) channels. A hierarchical decomposition divides the task of equalising a high-order QAM channel into much simpler sub-tasks. Each sub-task can be accomplished fast and reliably using a blind clustering algorithm derived originally for 4-QAM signals. The constant modulus algorithm (CMA) is used as a benchmark to assess this multi-stage blind equaliser. It is demonstrated that the new blind algorithm achieves much faster convergence and is very robust when input symbols are not sufficiently white. This multi-stage clustering equaliser only requires slightly more computations than the CMA and, like the latter, its computational complexity does not increase as the levels of digital symbols increase.
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Published date: 1 April 1995
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 251084
URI: http://eprints.soton.ac.uk/id/eprint/251084
PURE UUID: 02029c26-8d03-4968-9790-0eaa3ff9e201
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Date deposited: 12 Oct 1999
Last modified: 14 Mar 2024 05:08
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Author:
S. Chen
Author:
S. McLaughlin
Author:
P. M. Grant
Author:
B. Mulgrew
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