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Reduced-complexity multi-stage blind clustering equaliser

Reduced-complexity multi-stage blind clustering equaliser
Reduced-complexity multi-stage blind clustering equaliser
A multi-stage blind clustering algorithm is proposed for equalization of M-quadrature amplitude modulated (QAM) channels. A hierarchical decomposition divides the overall task of equalizing 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 equalizer. It is demonstrated that the new blind adaptive algorithm achieves much faster convergence. This multi-stage clustering equalizer only requires slightly more computations than the very simple CMA and, like the latter, its computational complexity does not increase as the levels of digital symbols increase.
1149-1153
IEEE
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.
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. (1993) Reduced-complexity multi-stage blind clustering equaliser. In Proceedings of ICC '93 - IEEE International Conference on Communications. IEEE. pp. 1149-1153 . (doi:10.1109/ICC.1993.397457).

Record type: Conference or Workshop Item (Paper)

Abstract

A multi-stage blind clustering algorithm is proposed for equalization of M-quadrature amplitude modulated (QAM) channels. A hierarchical decomposition divides the overall task of equalizing 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 equalizer. It is demonstrated that the new blind adaptive algorithm achieves much faster convergence. This multi-stage clustering equalizer only requires slightly more computations than the very simple CMA and, like the latter, its computational complexity does not increase as the levels of digital symbols increase.

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More information

Published date: 1993
Additional Information: IEEE International Conference on Communications (Geneva, Switzerland), 1993. Event Dates: 1993 Organisation: IEEE Communications society
Venue - Dates: IEEE International Conference on Communications, Geneva, Switzerland, 1993-01-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 251119
URI: http://eprints.soton.ac.uk/id/eprint/251119
PURE UUID: ecc58356-50d3-4bc8-8557-87182e8607a9

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Date deposited: 12 Oct 1999
Last modified: 16 Mar 2024 15:49

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Contributors

Author: S. Chen
Author: S. McLaughlin
Author: P. M. Grant
Author: B. Mulgrew

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