Multistage blind clustering equalizer

Sheng Chen, Steve McLaughlin, Peter M Grant, Bernard Mulgrew

Research output: Contribution to journalArticlepeer-review

42 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)701-705
Number of pages5
JournalIEEE Transactions on Communications
Issue number2-4
Publication statusPublished - 1995


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