Matched pdf-based blind equalization

Author

Lázaro, M. ; Santamaria, Ignacio ; Pantaleon, C. ; Erdogmus, D. ; Principe, J.C.

Author_Institution

Cantabria Univ., Santander, Spain

Volume

4

fYear

2003

fDate

6-10 April 2003

Abstract

In this paper, a new blind equalization algorithm for multilevel modulations is proposed. It is based on maximizing the correlation between the probability density function (pdf) of the signal at the output of the equalizer and the desired pdf. The algorithm employs the Parzen window method to estimate the pdf of the squared modulus of the equalizer output. A stochastic gradient-based algorithm is used to maximize the correlation between this pdf and the pdf of the corresponding modulation. The proposed algorithm shows an excellent performance when compared with conventional adaptive blind algorithms, such as CMA, in quadrature amplitude modulation (QAM) schemes.

Keywords

blind equalisers; correlation methods; gradient methods; optimisation; probability; quadrature amplitude modulation; stochastic processes; Parzen window method; QAM; blind equalization algorithm; correlation maximization; multilevel modulations; pdf; performance; probability density function; quadrature amplitude modulation; squared modulus; stochastic gradient; Adaptive filters; Blind equalizers; Cost function; DICOM; Digital modulation; Gaussian noise; Mean square error methods; Nonlinear filters; Quadrature amplitude modulation; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1202632

Filename

1202632