Vector constant modulus algorithm for shaped constellation equalization

Vanessa Y. Yang, Douglas L. Jones

Research output: Contribution to journalArticlepeer-review


The constant modulus algorithm (CMA), a popular method for performing blind equalization, has the drawback of failing when the input data has a Gaussian distribution or a kurtosis larger than three. This means that source shaping (which is used to increase the shaping gain) can produce data unequalizable by CMA and other important blind equalization techniques. This paper proposes a simple extension of CMA that blindly equalizes many types of shaped constellations, including those shaped by shell mapping.

Original languageEnglish (US)
Pages (from-to)89-91
Number of pages3
JournalIEEE Signal Processing Letters
Issue number4
StatePublished - Apr 1998

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics


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