Title :
A vector constant modulus algorithm for shaped constellation equalization
Author :
Yang, Vanessa Y. ; Jones, Douglas L.
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
fDate :
4/1/1998 12:00:00 AM
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.
Keywords :
Gaussian distribution; equalisers; signal processing; CMA; Gaussian distribution; blind equalization; input data; shaped constellation equalization; shaping gain; shell mapping; signal constellation; source shaping; vector constant modulus algorithm; Blind equalizers; Communication channels; Constellation diagram; Frequency; Gaussian distribution; Higher order statistics; Modems; Robustness; Signal processing algorithms; Timing;
Journal_Title :
Signal Processing Letters, IEEE
