DocumentCode
144905
Title
A volterra filtering approach for the polynomial formulation of the constant modulus criterion
Author
Fantinato, Denis G. ; Attux, Romis ; Romano, Joao Marcos Travassos ; Suyama, Ricardo ; Neves, Aline
Author_Institution
Sch. of Electr. & Comput. Eng., Univ. of Campinas, Campinas, Brazil
fYear
2014
fDate
17-20 Aug. 2014
Firstpage
1
Lastpage
5
Abstract
In this work, an extended polynomial formulation of the constant modulus (CM) criterion under quadratic constraints is presented. Based on the method of Lagrange Multipliers, this `Volterra-CM formulation´ brings very relevant information about the structure of the null-gradient CM solutions in the equalizer parameter space, including a conjecture regarding the relationship between the smallest multiplier and the optimal CM receiver. In the case of a two-tap filter, the proposed formulation allows that the solutions be obtained in terms of a single parameter, the corresponding Lagrange multiplier. For filters with more than two taps, the problem requires that a nonlinear system be solved, which is done with the aid of an iterative algorithm. The obtained global convergence rates show that the formulation is an effective tool to describe the structure of the optimal CM solution.
Keywords
convergence of numerical methods; equalisers; iterative methods; nonlinear filters; nonlinear systems; parameter space methods; polynomials; Lagrange multipliers; Volterra filtering approach; Volterra-CM formulation; constant modulus criterion; equalizer parameter space; iterative algorithm; null-gradient CM solution structure; optimal CM receiver; polynomial formulation; quadratic constraints; two-tap filter; Convergence; Cost function; Educational institutions; Equalizers; Iterative methods; Polynomials; Vectors; Blind equalization; Lagrange multipliers; Volterra filtering; constant modulus criterion;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications Symposium (ITS), 2014 International
Conference_Location
Sao Paulo
Type
conf
DOI
10.1109/ITS.2014.6947963
Filename
6947963
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