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 the other main blind equalization techniques. This paper proposes a simple extension of CMA which blindly equalizes many types of shaped constellations.

Original languageEnglish (US)
Pages (from-to)590-594
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
StatePublished - 1998
Externally publishedYes

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering


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