A vector constant modulus algorithm for shaped constellation equalization

A vector constant modulus algorithm for shaped constellation equalization

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 unequali...

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Veröffentlicht in:IEEE signal processing letters 1998-04, Vol.5 (4), p.89-91
Hauptverfasser: Yang, V.Y., Jones, D.L.
Format: Artikel
Sprache:eng
Schlagworte:
Blind equalizers
Communication channels
Constellation diagram
Frequency
Gaussian distribution
Higher order statistics
Modems
Robustness
Signal processing algorithms
Timing
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Beschreibung
Zusammenfassung: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.
ISSN:1070-9908
1558-2361
DOI:10.1109/97.664175