Title :
Experimental validation of the Kronecker product Godard blind adaptive algorithms
Author :
Jamali, Hamadi ; Wood, Sally L. ; Cristi, Roberto
Author_Institution :
Dept. of Electr. Eng., Santa Clara Univ., CA, USA
Abstract :
To overcome the analytical challenge the nonconvex Godard criterion presents, the Kronecker product operator and higher order statistical moments have been proposed as a natural framework to obtain an exact and more tractable mathematical description of the behavior of the algorithm. The authors validate these findings by working out several examples in both notations. Particular attention is given to situations of standard constant modulus adaptive algorithm misbehavior
Keywords :
adaptive filters; equalisers; filtering and prediction theory; signal processing; statistical analysis; CMA algorithm; Godard blind adaptive algorithms; Godard equaliser; Kronecker product operator; constant modulus adaptive algorithm; higher order statistical moments; nonconvex Godard criterion; Adaptive algorithm; Algorithm design and analysis; Cost function; Equalizers; Equations; Force measurement; Geometry; Performance analysis; Vectors; Visualization;
Conference_Titel :
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-3160-0
DOI :
10.1109/ACSSC.1992.269269
