Vector constant modulus algorithm for shaped constellation equalization

Vanessa Y. Yang; Douglas L. Jones

doi:10.1109/97.664175

Vector constant modulus algorithm for shaped constellation equalization

Vanessa Y. Yang, Douglas L. Jones

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

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 language	English (US)
Pages (from-to)	89-91
Number of pages	3
Journal	IEEE Signal Processing Letters
Volume	5
Issue number	4
DOIs	https://doi.org/10.1109/97.664175
State	Published - Apr 1998

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/97.664175

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abstract = "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.",

author = "Yang, {Vanessa Y.} and Jones, {Douglas L.}",

note = "Funding Information: Manuscript received August 14, 1997. This work was supported by the Joint Services Electronics Program under Contract N00014-96-1-0129. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. John J. Shynk.",

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N2 - 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.

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Vector constant modulus algorithm for shaped constellation equalization

Abstract

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