Title :
A vector constant modulus algorithm for shaped constellation equalization
Author :
Yang, Vanessa Y. ; Jones, Douglas L.
Author_Institution :
TRW Inc., Redondo Beach, CA, USA
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 the other main blind equalization techniques. This paper proposes a simple extension of CMA which blindly equalizes many types of shaped constellations.
Keywords :
Gaussian distribution; equalisers; Gaussian distribution; input data; kurtosis; shaped constellation equalization; shaping gain; source shaping; vector constant modulus algorithm; Baseband; Blind equalizers; Communication channels; Constellation diagram; Convolution; Cost function; Data communication; Gaussian distribution; Higher order statistics; Modems;
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-8316-3
DOI :
10.1109/ACSSC.1997.680446
