DocumentCode
311389
Title
CMA convergence for constant envelope, non-zero bandwidth signals
Author
Wood, Sally L. ; Larimore, Michael G. ; Treichler, John R.
Author_Institution
Dept. of Electr. Eng., Santa Clara Univ., CA, USA
Volume
3
fYear
1997
fDate
21-24 Apr 1997
Firstpage
2525
Abstract
The gradient-descent-based constant modulus algorithm (CMA) is commonly thought to converge much more slowly than its least mean square (LMS) counterpart, particularly for quadrature-amplitude-modulated (QAM) signals. Experiments shown in this paper indicate that in fact there is no substantial difference in the convergence rates of the two methods in the important special case of constant envelope signals (e.g., FM and FSK). For both CMA and LMS algorithms the convergence for nontrivially frequency-modulated signals depends on the same eigenvalue disparity problem that affects all gradient-descent techniques
Keywords
adaptive equalisers; adaptive filters; convergence of numerical methods; eigenvalues and eigenfunctions; filtering theory; frequency modulation; frequency shift keying; least mean squares methods; quadrature amplitude modulation; CMA; FM; FSK; QAM; constant envelope signals; constant modulus algorithm; convergence rate; eigenvalue disparity problem; equalisers; gradient-descent techniques; least mean square algorithm; non-zero bandwidth signals; nontrivially frequency-modulated signals; quadrature-amplitude-modulated signals; Bandwidth; Blind equalizers; Convergence; Digital communication; Eigenvalues and eigenfunctions; Filters; Frequency shift keying; Least squares approximation; Quadrature amplitude modulation; Signal analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location
Munich
ISSN
1520-6149
Print_ISBN
0-8186-7919-0
Type
conf
DOI
10.1109/ICASSP.1997.599631
Filename
599631
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