An adaptive radius blind equalization algorithm based on pdf fitting

Malek Messai (1, 2) , Souhaila Fki (2, 3) , Thierry Chonavel (4, 2) , Abdeldjalil Aissa El Bey (1, 2)

1 Lab-STICC_TB_CACS_COM
2 SC - Département Signal et Communications
3 Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
4 Lab-STICC_TB_CID_TOMS

In this paper, we investigate blind equalization techniques based on information theoretic criteria. They involve estimating the probability density function (pdf) of transmitted data. Our work is based on previous studies where the Parzen window method has been used to estimate the pdf at the equalizer output. The equalizer is obtained by minimizing the distance between this equalized pdf and some target distribution. With a view to reduce algorithm complexity, we propose a reduced constellation implementation of the adaptive equalizer. We show complexity and performance gain against similar approaches in the literature.

Mots clés: Blind equalization; Pdf; Parzen windowing

Domaines: Traitement du signal et de l'image [eess.SP]

Malek Messai, Souhaila Fki, Thierry Chonavel, Abdeldjalil Aissa El Bey. An adaptive radius blind equalization algorithm based on pdf fitting. EUSIPCO 2013 : 21st European Signal Processing conference, Sep 2013, Marrakech, Morocco. ⟨hal-00903900⟩